1. A. Berthoz. Le sens du mouvement. Odile Jacob, Paris, 1997.
   Keywords: neuroscience, action, perception.
   

   @BOOK{bert_97,
   AUTHOR = {Berthoz, A.},
   TITLE = {Le sens du mouvement},
   PUBLISHER = {Odile Jacob, Paris},
   YEAR = {1997},
   rating = {C},
   keywords = {neuroscience, action, perception} 
   }
   

1. Kimberly Jameson and Roy G. d'Andrade. Color Categories in Thought and Language., chapter It's not really Red, Green, Yellow, Blue: An inquiry into perceptual color space.. Cambridge University Press, 1997.
   Keywords: color, hues.
   

   Comments: des arguments pertinents contre the opponent theory. En particulier: R opposé à BG plutot que G, pas d'accord avec LGN, incohérence du caractere simultanement unitaire et antagoniste des couleurs, afterimages, etc. Des refs très utiles.

   
   

   @InBook{jame_dand_97,
   author = {Jameson, Kimberly and d'Andrade, Roy G.},
   title = {Color Categories in Thought and Language.},
   chapter = {It's not really Red, Green, Yellow, Blue: An inquiry into perceptual color space.},
   publisher = {Cambridge University Press},
   year = {1997},
   url = {http://aris.ss.uci.edu/cogsci/personnel/kjameson/HardinVol.pdf},
   rating = {B},
   keywords = {color, hues},
   comments = {des arguments pertinents contre the opponent theory. En particulier: R opposé à BG plutot que G, pas d'accord avec LGN, incohérence du caractere simultanement unitaire et antagoniste des couleurs, afterimages, etc. Des refs très utiles.} 
   }
   




2. R. Aldrovandi and L.A. Saeger. Projective Fourier Duality and Weyl Quantization. Int.J.Theor.Phys., 36:573-612, 1997.
   Keywords: mathematics, projective geometry, quantization.

   Abstract: The Weyl-Wigner correspondence prescription, which makes large use of Fourier duality, is reexamined from the point of view of Kac algebras, the most general background for noncommutative Fourier analysis allowing for that property. It is shown how the standard Kac structure has to be extended in order to accommodate the physical requirements. An Abelian and a symmetric projective Kac algebras are shown to provide, in close parallel to the standard case, a new dual framework and a well-defined notion of projective Fourier duality for the group of translations on the plane. The Weyl formula arises naturally as an irreducible component of the duality mapping between these projective algebras.

   
   

   @Article{aldr_saeg_97,
   author = {Aldrovandi, R. and Saeger, L.A.},
   title = {Projective Fourier Duality and Weyl Quantization},
   journal = {Int.J.Theor.Phys.},
   year = {1997},
   volume = {36},
   pages = {573-612},
   abstract = {The Weyl-Wigner correspondence prescription, which makes large use of Fourier duality, is reexamined from the point of view of Kac algebras, the most general background for noncommutative Fourier analysis allowing for that property. It is shown how the standard Kac structure has to be extended in order to accommodate the physical requirements. An Abelian and a symmetric projective Kac algebras are shown to provide, in close parallel to the standard case, a new dual framework and a well-defined notion of projective Fourier duality for the group of translations on the plane. The Weyl formula arises naturally as an irreducible component of the duality mapping between these projective algebras.},
   url = {http://arxiv.org/abs/funct-an/9608004},
   rating = {C},
   keywords = {mathematics, projective geometry, quantization} 
   }
   




3. Abhay Ashtekar, Alejandro Corichi, and Monica Pierri. Geometry in Color Perception. ESI, 1997.
   Keywords: color, geometry.
   

   Comments: review amusante du point de vue des physiciens sur la couleur.

   
   

   @Article{asht_cori_pier_97,
   author = {Ashtekar, Abhay and Corichi, Alejandro and Pierri, Monica},
   title = {Geometry in Color Perception},
   journal = {ESI},
   year = {1997},
   url = {ftp://ftp.esi.ac.at/pub/Preprints/esi517.ps},
   comments = {review amusante du point de vue des physiciens sur la couleur.},
   keywords = {color, geometry},
   rating = {D} 
   }
   




4. A.J. Bell and T.J. Sejnowski. The 'independent components' of natural scenes are edge filters. Vision Research, (37):3327-3338, 1997.
   Keywords: information theory.

   Abstract: Field (1994) has suggested that neurons with line and edge selectivities found in primary visual cortex of cats and monkeys form a sparse, distributed representaton of natural scenes, and Barlow (1989) has reasoned that such responses should emerge from an unsupervised learning algorithm that attempts to find a factorial code of independent visual features. We show here that a new unsupervised learning algorithm that is based on information maximisation, a non-linear `infomax' network (Bell and Sejnowski, 1995) when applied to an ensemble of natural scenes, produces sets of visual filters that are localised and oriented. Some of these filters are Gabor-like and resemble those produced by the sparseness-maximisation network of Olshausen & Field (1996). In addition, the outputs of these filters are as independent as possible, since the infomax network is able to perform Independent Components Analysis (ICA). We compare the resulting ICA filters and their associated basis functions, with ...

   
   

   @Article{bell_sejn_97,
   author = {Bell, A.J. and Sejnowski, T.J.},
   title = {The 'independent components' of natural scenes are edge filters},
   journal = {Vision Research},
   year = {1997},
   number = {37},
   pages = {3327-3338},
   keywords = {information theory},
   rating = {C},
   url = {http://citeseer.ist.psu.edu/bell97independent.html},
   abstract = {Field (1994) has suggested that neurons with line and edge selectivities found in primary visual cortex of cats and monkeys form a sparse, distributed representaton of natural scenes, and Barlow (1989) has reasoned that such responses should emerge from an unsupervised learning algorithm that attempts to find a factorial code of independent visual features. We show here that a new unsupervised learning algorithm that is based on information maximisation, a non-linear `infomax' network (Bell and Sejnowski, 1995) when applied to an ensemble of natural scenes, produces sets of visual filters that are localised and oriented. Some of these filters are Gabor-like and resemble those produced by the sparseness-maximisation network of Olshausen & Field (1996). In addition, the outputs of these filters are as independent as possible, since the infomax network is able to perform Independent Components Analysis (ICA). We compare the resulting ICA filters and their associated basis functions, with ...} 
   }
   




5. Richard O. Brown and Donald I.A. MacLeod. Color appearance depends on the variance of surround colors. Current Biology, 7(11):844-9, 1997.
   Keywords: color, perception, color constancy.

   Abstract: BACKGROUND: The perceived color at each point in a visual scene depends on the relationship between light signals from that point, and light signals from surrounding areas of the scene. In the well known phenomenon of simultaneous color contrast, changing the overall brightness or hue of an object's surround induces a complementary shift in the perceived brightness or hue of the object's color. Color contrast is thought to contribute to color constancy with changes in illumination. RESULTS: We report a new type of simultaneous color contrast, in which changing only the variance (i.e. contrasts and saturations), but not the mean, of colors in a test spot's surround induces a complementary shift in the perceived contrast and saturation of the test spot's color. Objects appear much more vivid and richly colored against low-contrast, gray surrounds than against high-contrast, multicolored surrounds. CONCLUSIONS: Color appearance depends not just on the mean color of the surround, but also on the distribution of surround colors about the mean. This novel form of simultaneous color contrast is inconsistent with a variety of models of color appearance, including those based on sensitivity regulation at the receptor level, and those in which the effects of complex surrounds on color appearance can be reduced to adaptation to the illuminant or induction from a homogeneous 'equivalent surround'. It tends to normalize the gamut of perceived colors in each visual scene and may also contribute to color constancy under viewing conditions that affect contrast.

   
   

   Comments: argument contre les théories bas-niveau de la perception de la constance de la couleur

   
   

   @Article{brow_macl_97,
   author = {Brown, Richard O. and MacLeod, Donald I.A.},
   title = {Color appearance depends on the variance of surround colors},
   journal = {Current Biology},
   year = {1997},
   volume = {7},
   number = {11},
   pages = {844-9},
   comments = {argument contre les théories bas-niveau de la perception de la constance de la couleur},
   rating = {C},
   url = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?holding=npg&cmd=Retrieve&db=PubMed&list_uids=9382808&dopt=Abstract},
   keywords = {color, perception, color constancy},
   abstract = {BACKGROUND: The perceived color at each point in a visual scene depends on the relationship between light signals from that point, and light signals from surrounding areas of the scene. In the well known phenomenon of simultaneous color contrast, changing the overall brightness or hue of an object's surround induces a complementary shift in the perceived brightness or hue of the object's color. Color contrast is thought to contribute to color constancy with changes in illumination. RESULTS: We report a new type of simultaneous color contrast, in which changing only the variance (i.e. contrasts and saturations), but not the mean, of colors in a test spot's surround induces a complementary shift in the perceived contrast and saturation of the test spot's color. Objects appear much more vivid and richly colored against low-contrast, gray surrounds than against high-contrast, multicolored surrounds. CONCLUSIONS: Color appearance depends not just on the mean color of the surround, but also on the distribution of surround colors about the mean. This novel form of simultaneous color contrast is inconsistent with a variety of models of color appearance, including those based on sensitivity regulation at the receptor level, and those in which the effects of complex surrounds on color appearance can be reduced to adaptation to the illuminant or induction from a homogeneous 'equivalent surround'. It tends to normalize the gamut of perceived colors in each visual scene and may also contribute to color constancy under viewing conditions that affect contrast.} 
   }
   




6. Jean-François Cardoso. Infomax and maximum likelihood for source separation. IEEE Letters on Signal Processing, 4(4):112-114, 1997.
   Keywords: ICA, statistics, information theory, BSS.

   Abstract: Algorithms for the blind separation of sources can be derived from several different principles. This letter shows that the recently proposed infomax principle is equivalent to maximum likelihood. Introduction. Source separation consists in recovering a set of unobservable signals (sources) from a set of observed mixtures.

   
   

   @Article{card_97,
   author = {Cardoso, Jean-François},
   title = {Infomax and maximum likelihood for source separation},
   journal = {IEEE Letters on Signal Processing},
   volume = {4},
   number = {4},
   pages = {112-114},
   year = {1997},
   rating = {B},
   keywords = {ICA, statistics, information theory, BSS},
   url = {http://citeseer.ist.psu.edu/cardoso97infomax.html},
   abstract = {Algorithms for the blind separation of sources can be derived from several different principles. This letter shows that the recently proposed infomax principle is equivalent to maximum likelihood. Introduction. Source separation consists in recovering a set of unobservable signals (sources) from a set of observed mixtures. } 
   }
   




7. H. J. Chiel and R.D. Beer. The brain has a body: adaptative behavior emerges from interactions of nervous system, body and environment. Trends in Neuroscience, 20:553-557, 1997.
   Keywords: sensorimotor, perception, action, ecology.
   

   Comments: Un papier avec une masse d'excellentes références. L'argument: le système nerveux n'est pas tout seul, il faut le comprendre en relation avec le corps et l'environement avec lesquels il interagit. Importance du feedback, de l'évolution (et coévolution) du corps et du système nerveux, absurdité de l'isolement d'une partie (neuronale) non fonctionnelle donc non signifiante vis à vis de la compréhension du comportement (perception ou action).

   
   

   @Article{chie_beer_97,
   author = {Chiel, H. J. and Beer, R.D.},
   title = {The brain has a body: adaptative behavior emerges from interactions of nervous system, body and environment},
   journal = {Trends in Neuroscience},
   year = {1997},
   volume = {20},
   pages = {553-557},
   abstract = {},
   comments = {Un papier avec une masse d'excellentes références. L'argument: le système nerveux n'est pas tout seul, il faut le comprendre en relation avec le corps et l'environement avec lesquels il interagit. Importance du feedback, de l'évolution (et coévolution) du corps et du système nerveux, absurdité de l'isolement d'une partie (neuronale) non fonctionnelle donc non signifiante vis à vis de la compréhension du comportement (perception ou action).},
   url = {http://vorlon.ces.cwru.edu/~beer/Papers/TINS.pdf},
   rating = {B},
   keywords = {sensorimotor, perception, action, ecology} 
   }
   




8. Russell L. De Valois, Karen K. De Valois, Eugene Switkes, and Luke Mahon. Hue scaling of isoluminant and cone-specific lights. Vision Research, 37(7):885-97, 1997.
   Keywords: color, perception, color constancy.

   Abstract: ing a hue scaling technique, we have examined the appearance of colored spots produced by shifts from white to isoluminant stimuli along various color vectors in order to examine color appearance without the complications of the combined luminance and chromatic stimulation involved in most previous hue scaling studies, which have used flashes of monochromatic light. We also used spots lying along cone-isolating vectors in order to determine what hues would be reported with a change in activation of only single cone types or of only single geniculate opponent-cell types, an issue of direct relevance to any model of color vision. We find that: 1. Unique hues do not correspond either to the change in activation of single cone types or of single geniculate opponent-cell types. This is well known to be the case for yellow and blue, but we find it to be true for red and green as well. 2. These conclusions are not limited to the particular white (Illuminant C) used as an adapting background in most of the experiments. Shifts along the same cone-contrast vectors relative to different backgrounds lead to much the same hue percepts, independent of the starting white used. 3. The shifts of the perceptual colors from the geniculate axes are in the directions, and close to the absolute amounts, predicted by our [De Valois & De Valois (1993). Vision Research, 33, 1053-1065] multi-stage color model in which we postulate that the S-opponent cells are added to or subtracted from the M- and L-opponent cells to form the four perceptual color systems. 4. There are distinct asymmetries with respect to the extent to which various hues within each perceptual opponent system deviate from the geniculate opponent-cell axes. Blue is shifted more from the S-LM axis than is yellow; green is shifted more from the L-M axis than is red. There are also asymmetries in the angular extent of opponent color regions. Blue is seen over a larger range of color vectors than is yellow, and red over a slightly larger range than green. 5. Such asymmetries are not accounted for by any model that treats red-green and yellow-blue each as unitary, mirror-image opponent-color systems. Although red and green are perceptually opponent, the red and green perceptual systems do not appear to be constructed in a mirror-image fashion with respect to input from different cone types or from different geniculate opponent-cell types. The same is true for yellow and blue.

   
   

   Comments: "we attempted to model the successive processing stages... from the LGN to perception". incroyable, le fossé conceptuel entre les tenants des NCCs et nous: ils sont convaincus que la question, c'est la lumière rétinale.

   
   

   @Article{valo_swit_maho_97,
   author = {De Valois, Russell L. and De Valois, Karen K. and Switkes, Eugene and Mahon, Luke},
   title = {Hue scaling of isoluminant and cone-specific lights},
   journal = {Vision Research},
   year = {1997},
   volume = {37},
   number = {7},
   pages = {885-97},
   comments = {"we attempted to model the successive processing stages... from the LGN to perception". incroyable, le fossé conceptuel entre les tenants des NCCs et nous: ils sont convaincus que la question, c'est la lumière rétinale.},
   rating = {B},
   url = {http://linkinghub.elsevier.com/retrieve/pii/S0042698996002349},
   keywords = {color, perception, color constancy},
   abstract = {ing a hue scaling technique, we have examined the appearance of colored spots produced by shifts from white to isoluminant stimuli along various color vectors in order to examine color appearance without the complications of the combined luminance and chromatic stimulation involved in most previous hue scaling studies, which have used flashes of monochromatic light. We also used spots lying along cone-isolating vectors in order to determine what hues would be reported with a change in activation of only single cone types or of only single geniculate opponent-cell types, an issue of direct relevance to any model of color vision. We find that: 1. Unique hues do not correspond either to the change in activation of single cone types or of single geniculate opponent-cell types. This is well known to be the case for yellow and blue, but we find it to be true for red and green as well. 2. These conclusions are not limited to the particular white (Illuminant C) used as an adapting background in most of the experiments. Shifts along the same cone-contrast vectors relative to different backgrounds lead to much the same hue percepts, independent of the starting white used. 3. The shifts of the perceptual colors from the geniculate axes are in the directions, and close to the absolute amounts, predicted by our [De Valois & De Valois (1993). Vision Research, 33, 1053-1065] multi-stage color model in which we postulate that the S-opponent cells are added to or subtracted from the M- and L-opponent cells to form the four perceptual color systems. 4. There are distinct asymmetries with respect to the extent to which various hues within each perceptual opponent system deviate from the geniculate opponent-cell axes. Blue is shifted more from the S-LM axis than is yellow; green is shifted more from the L-M axis than is red. There are also asymmetries in the angular extent of opponent color regions. Blue is seen over a larger range of color vectors than is yellow, and red over a slightly larger range than green. 5. Such asymmetries are not accounted for by any model that treats red-green and yellow-blue each as unitary, mirror-image opponent-color systems. Although red and green are perceptually opponent, the red and green perceptual systems do not appear to be constructed in a mirror-image fashion with respect to input from different cone types or from different geniculate opponent-cell types. The same is true for yellow and blue.} 
   }
   




9. Shimon Edelman and Nathan Intrator. Learning as extraction of low-dimensional representations. november 1997.
   Keywords: dimension reduction, learning.

   Abstract: Psychophysical findings accumulated over the past several decades indicate that perceptual tasks such as similarity judgment tend to be performed on a low-dimensional representation of the sensory data. Low dimensionality is especially important for learning, as the number of examples required for attaining a given level of performance grows exponentially with the dimensionality of the underlying representation space. In this chapter, we argue that, whereas many perceptual problems are tractable precisely because their intrinsic dimensionality is low, the raw dimensionality of the sensory data is normally high, and must be reduced by a nontrivial computational process, which, in itself, may involve learning. Following a survey of computational techniques for dimensionality reduction, we show that it is possible to learn a low-dimensional representation that captures the intrinsic low-dimensional nature of certain classes of visual objects, thereby facilitating further learning of tasks...

   
   

   @article{philo:edel_intra_97,
   author = {Edelman, Shimon and Intrator, Nathan},
   title = {Learning as extraction of low-dimensional representations},
   text = {S. Edelman and N. Intrator. Learning as extraction of low-dimensional representations. In D. Medin, R. Goldstone, and P. Schyns, editors, Mechanisms of Perceptual Learning. Academic Press},
   month = {november},
   year = {1997},
   url = {http://citeseer.nj.nec.com/142297.html},
   rating = {C},
   keywords = {dimension reduction, learning},
   abstract = {Psychophysical findings accumulated over the past several decades indicate that perceptual tasks such as similarity judgment tend to be performed on a low-dimensional representation of the sensory data. Low dimensionality is especially important for learning, as the number of examples required for attaining a given level of performance grows exponentially with the dimensionality of the underlying representation space. In this chapter, we argue that, whereas many perceptual problems are tractable precisely because their intrinsic dimensionality is low, the raw dimensionality of the sensory data is normally high, and must be reduced by a nontrivial computational process, which, in itself, may involve learning. Following a survey of computational techniques for dimensionality reduction, we show that it is possible to learn a low-dimensional representation that captures the intrinsic low-dimensional nature of certain classes of visual objects, thereby facilitating further learning of tasks...} 
   }
   




10. J.J. Kulikowski and H. Vaitkevicius. Colour constancy as a function of hue. Acta Psychologica, pp 25-35, 1997.
    Keywords: color constancy, unique hues.

    Abstract: The effects of colour categories on colour constancy were studied under two illuminants and two neutral grey backgrounds using Munsell chips and colour matching. It was found that the categorical colours: red, yellow, green and blue, which are processed by basic colour-opponent mechanisms, show relatively better colour constancy than intermediate colours. The dominant wavelength of these categorical colours are closely related to the typical hues obtained in experiments with narrow-band spectral hues.

    
    

    Comments: moyennement convaincant

    
    

    @Article{kuli_vait_97,
    author = {Kulikowski, J.J. and Vaitkevicius, H.},
    title = {Colour constancy as a function of hue},
    journal = {Acta Psychologica},
    year = {1997},
    pages = {25-35},
    comments = {moyennement convaincant},
    rating = {C},
    url = {http://linkinghub.elsevier.com/retrieve/pii/S000169189700022X},
    keywords = {color constancy, unique hues},
    abstract = {The effects of colour categories on colour constancy were studied under two illuminants and two neutral grey backgrounds using Munsell chips and colour matching. It was found that the categorical colours: red, yellow, green and blue, which are processed by basic colour-opponent mechanisms, show relatively better colour constancy than intermediate colours. The dominant wavelength of these categorical colours are closely related to the typical hues obtained in experiments with narrow-band spectral hues.} 
    }
    




11. Shree K. Nayar, Fang Xi-Sheng, and Terrance Boult. Separation of reflection components using color and polarization. International Journal of Computer Vision, 21(3):163-186, 1997.
    Keywords: specular, color, artificial vision, computer graphics.

    Abstract: Specular reflections and interreflections produce strong highlights in brightness images. These highlights can cause vision algorithms for segmentation, shape from shading, binocular stereo, and motion estimation to produce erroneous results. A technique is developed for separating the specular and diffuse components of reflection from images. The approach is to use color and polarization information, simultaneously, to obtain constraints on the reflection components at each image point. Polarization yields local and independent estimates of the color of specular reflection. The result is a linear subspace in color space in which the local diffuse component must lie. This subspace constraint is applied to neighboring image points to determine the diffuse component. In contrast to previous separation algorithms, the proposed method can handle highlights on surfaces with substantial texture, smoothly varying diffuse reflectance, and varying material properties. The separation algorithm is applied to several complex scenes with textured objects and strong interreflections. The separation results are then used to solve three problems pertinent to visual perception; determining illumination color, estimating illumination direction, and shape recovery.

    
    

    Comments: La lumière spéculaire est polarisée, et pas la lumière diffuse... des références sur la séparation information lumière spéculaire/diffuse

    
    

    @Article{naya_xish_boul_97,
    author = {Nayar, Shree K. and Xi-Sheng, Fang and Boult, Terrance},
    title = {Separation of reflection components using color and polarization},
    journal = {International Journal of Computer Vision},
    year = {1997},
    volume = {21},
    number = {3},
    pages = {163-186},
    url = {http://www.cs.columbia.edu/CAVE/publinks/nayar_IJCV_1996_3.pdf},
    abstract = {Specular reflections and interreflections produce strong highlights in brightness images. These highlights can cause vision algorithms for segmentation, shape from shading, binocular stereo, and motion estimation to produce erroneous results. A technique is developed for separating the specular and diffuse components of reflection from images. The approach is to use color and polarization information, simultaneously, to obtain constraints on the reflection components at each image point. Polarization yields local and independent estimates of the color of specular reflection. The result is a linear subspace in color space in which the local diffuse component must lie. This subspace constraint is applied to neighboring image points to determine the diffuse component. In contrast to previous separation algorithms, the proposed method can handle highlights on surfaces with substantial texture, smoothly varying diffuse reflectance, and varying material properties. The separation algorithm is applied to several complex scenes with textured objects and strong interreflections. The separation results are then used to solve three problems pertinent to visual perception; determining illumination color, estimating illumination direction, and shape recovery.},
    comments = {La lumière spéculaire est polarisée, et pas la lumière diffuse... des références sur la séparation information lumière spéculaire/diffuse},
    rating = {C},
    keywords = {specular, color, artificial vision, computer graphics} 
    }
    




12. David Pierce and Benjamin Kuipers. Map learning with Uninterpreted Sensors and Effectors. Artificial Intelligence, 92:169-229, 1997.
    Keywords: artificial intelligence, learning.

    Abstract: This paper presents a set of methods by which a learning agent can learn a sequence of increasingly abstract and powerful interfaces to control a robot whose sensorimotor apparatus and environment are initially unknown. The result of the learning is a rich hierarchical model of the robot's world (its sensimotor apparatus and environment). The learning methods rely on generic properties of the robot's world such as almost-everywhere smooth effects of motor control signals on sensory features. At the lowest level of the hierarchy, the learning agent analyzes the effects of its motor control signals in order to define a new set of control signals, one of each of the robot's degrees of freedom. It uses a generate-and-test approach to define sensory features that capture important aspects of the environment. It uses linear regression to learn models that characterize context-dependent effects of the control laws for finding and following paths defined using constraints on the learned features. The agent abstracts these control laws, which interact with the continuous environment, to a finite set of actions that implement discrete state transitions. At this point, the agent has abstracted the robot's continuous world to a finite-state world and can use existing methods to learn its structure. The learning agent's methods are evaluated on several simulated robots with different sensorimotor systems and environments.

    
    

    Comments: Comme son titre l'indique. L'approche est basée sur la correlation statistique entre les capteurs, une supposition importante est que l'ensemble des capteurs est constitué de sous-groupes de capteurs identiques.

    
    

    @ARTICLE{pier_kuip_00,
    AUTHOR = {Pierce, David and Kuipers, Benjamin},
    TITLE = {Map learning with Uninterpreted Sensors and Effectors},
    JOURNAL = {Artificial Intelligence},
    YEAR = {1997},
    VOLUME = {92},
    PAGES = {169-229},
    abstract = {This paper presents a set of methods by which a learning agent can learn a sequence of increasingly abstract and powerful interfaces to control a robot whose sensorimotor apparatus and environment are initially unknown. The result of the learning is a rich hierarchical model of the robot's world (its sensimotor apparatus and environment). The learning methods rely on generic properties of the robot's world such as almost-everywhere smooth effects of motor control signals on sensory features. At the lowest level of the hierarchy, the learning agent analyzes the effects of its motor control signals in order to define a new set of control signals, one of each of the robot's degrees of freedom. It uses a generate-and-test approach to define sensory features that capture important aspects of the environment. It uses linear regression to learn models that characterize context-dependent effects of the control laws for finding and following paths defined using constraints on the learned features. The agent abstracts these control laws, which interact with the continuous environment, to a finite set of actions that implement discrete state transitions. At this point, the agent has abstracted the robot's continuous world to a finite-state world and can use existing methods to learn its structure. The learning agent's methods are evaluated on several simulated robots with different sensorimotor systems and environments.},
    comments = {Comme son titre l'indique. L'approche est basée sur la correlation statistique entre les capteurs, une supposition importante est que l'ensemble des capteurs est constitué de sous-groupes de capteurs identiques.},
    rating = {D},
    keywords = {artificial intelligence, learning} 
    }
    




13. B.A.C. Saunders and J. van Brakel. Are there non-trivial constraints on colour categorization. Behavioral and Brain Sciences, 20(2), 1997.
    Keywords: color, categorization, language.

    Abstract: In this target article the following hypotheses are discussed: (1) colour is autonomous: a perceptuo-linguistic and behavioural universal; (2) it is completely described by three independent attributes: hue, brightness and saturation; (3) phenomenologically and psychophysically there are four unique hues: red, green, blue, yellow; (4) the unique hues are underpinned by two opponent psychophysical and/or neuronal channels: red/green, blue/yellow. The relevant literature is reviewed. We conclude: [i] psychophysics and neurophysiology fail to set nontrivial constraints on colour categorization; [ii] linguistic evidence provides no grounds for the universality of basic colour categories; [iii] neither the opponent hues red/green, blue/yellow nor hue, brightness and saturation are intrinsic to a universal concept of colour; (iv) colour is not autonomous.

    
    

    @Article{saun_brak_97,
    author = {Saunders, B.A.C. and van Brakel, J.},
    title = {Are there non-trivial constraints on colour categorization},
    journal = {Behavioral and Brain Sciences},
    year = {1997},
    volume = {20},
    number = {2},
    abstract = {In this target article the following hypotheses are discussed: (1) colour is autonomous: a perceptuo-linguistic and behavioural universal; (2) it is completely described by three independent attributes: hue, brightness and saturation; (3) phenomenologically and psychophysically there are four unique hues: red, green, blue, yellow; (4) the unique hues are underpinned by two opponent psychophysical and/or neuronal channels: red/green, blue/yellow. The relevant literature is reviewed. We conclude: [i] psychophysics and neurophysiology fail to set nontrivial constraints on colour categorization; [ii] linguistic evidence provides no grounds for the universality of basic colour categories; [iii] neither the opponent hues red/green, blue/yellow nor hue, brightness and saturation are intrinsic to a universal concept of colour; (iv) colour is not autonomous.},
    rating = {B},
    keywords = {color, categorization, language},
    url = {http://bbsonline.cup.cam.ac.uk/Preprints/OldArchive/bbs.saunders.html} 
    }
    




14. J.-P. Tarel. Global 3D Planar Reconstruction with Uncalibrated Cameras and Rectified Stereo Geometry. Machine Graphics & Vision, 6(4):393-418, 1997.
    Keywords: artificial vision.

    Abstract: L'idée de la reconstruction 3D par patches, et de prendre des régions planaires comme éléments de base à associer sur les images stéréo, au lieu d'associer des points. La transformation des régions est connue, est donc en intégrant les équations sur les surfaces on obtient des estimations plus robustes.

    
    

    @ARTICLE{tare_97,
    author = {Tarel, J.-P.},
    title = {Global {3D} Planar Reconstruction with Uncalibrated Cameras and Rectified Stereo Geometry},
    journal = {Machine Graphics \& Vision},
    volume = {6},
    number = {4},
    pages = {393-418},
    year = {1997},
    url = {http://www-rocq.inria.fr/~tarel/mgv97.html},
    abstract = {L'idée de la reconstruction 3D par patches, et de prendre des régions planaires comme éléments de base à associer sur les images stéréo, au lieu d'associer des points. La transformation des régions est connue, est donc en intégrant les équations sur les surfaces on obtient des estimations plus robustes.},
    keywords = {artificial vision},
    rating = {C} 
    }
    

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