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2014

evo-learn
Oren Kolodny, Shimon Edelman, and Arnon Lotem, Evolution of continuous learning of the structure of the environment, Journal of the Royal Society Interface 11:20131091 (2014).
brain-book-review
Shimon Edelman, How to write a "How to Build a Brain" book (a review of How to Build a Brain, C. Eliasmith, Oxford University Press, 2013), Trends in Cognitive Sciences 18:118-119 (2014). [This is a preprint of an article whose final and definitive text, published in TiCS, may differ.]

2013

U-MILA
Oren Kolodny, Arnon Lotem, and Shimon Edelman, Learning a generative probabilistic grammar of experience: a process-level model of language acquisition, Cognitive Science, in press.
complex networks for fMRI
Tomer Fekete, Meital Wilf, Denis Rubin, Shimon Edelman, Rafael Malach, and Lilianne R. Mujica-Parodi, Combining classification with fMRI-derived complex network measures for potential neurodiagnostics, PLoS ONE 8(5): e62867 (2013).

2012

new Chorus
Shimon Edelman and Reza Shahbazi, Renewing the Respect for Similarity, Frontiers in Computational Neuroscience (part of a Frontiers Research Topic, Invariant Recognition of Visual Objects), 6:45 (2012).
30 Marr
Shimon Edelman, Vision, reanimated and reimagined, (special issue on the 30th anniversary of the publication of Marr's Vision), Perception, 41:1116-1127 (2012).
six challenges
Shimon Edelman, Six challenges to theoretical and philosophical psychology, an inaugural editorial for Frontiers in Theoretical and Philosophical Psychology 3:219 (2012).
causal
Yue Gao, Eyal Nitzany, and Shimon Edelman, Online learning of causal structure in a dynamic game situation, Proc. 34th Cognitive Science Society Conference, Sapporo, Japan, July 2012, pages 372-377.

2011

fastmap
Luca Onnis, Shimon Edelman, and Heidi Waterfall, Local statistical learning under cross-situational uncertainty, Proc. 33rd Cognitive Science Society Conference, Boston, MA, July 2011.
hierarchy
Reza Shahbazi, David J. Field, and Shimon Edelman, The role of hierarchy in learning to categorize images, Proc. 33rd Cognitive Science Society Conference, Boston, MA, July 2011.
being in time
Shimon Edelman and Tomer Fekete, Being in Time, extended abstract for the poster presented at the 15th meeting of the Association for Scientific Study of Consciousness (ASSC15), June 2011, Kyoto, Japan.
dreaming and reality (or, the truth about Inception)
Shimon Edelman, Regarding Reality: Some Consequences of Two Incapacities, Frontiers in Theoretical and Philosophical Psychology, 2011.
computational phenomenology
Tomer Fekete and Shimon Edelman, Towards a computational theory of experience, Consciousness and Cognition, 20:807-827 (2011). Final draft.
learnLang
Shimon Edelman, On look-ahead in language: navigating a multitude of familiar paths, in Predictions in the Brain, M. Bar, ed. (Oxford University Press, March 2011). Penultimate draft.
in defence of metaphysics
Shimon Edelman, The metaphysics of embodiment (part of a collective review of Embodiment and the Inner Life — Cognition and Consciousness in the Space of Possible Minds by M. Shanahan, Oxford University Press, 2010, International Journal of Machine Consciousness 3:321-325, 2011).
freq
Catherine L. Caldwell-Harris, Jonathan Berant, and Shimon Edelman, Measuring mental entrenchment of phrases with perceptual identification, familiarity ratings, and corpus frequency statistics, to appear in S. T. Gries and D. Divjak (eds.), Frequency effects in cognitive linguistics (Vol. 1): Statistical effects in learnability, processing and change, The Hague, The Netherlands: De Gruyter Mouton (2011).

2010

ACCESS
Michael H. Goldstein, Heidi R. Waterfall, Arnon Lotem, Joseph Halpern, Jennifer Schwade, Luca Onnis, and Shimon Edelman, General cognitive principles for learning structure in time and space, Trends in Cognitive Sciences 14:249-258 (2010).
jcl
Heidi R. Waterfall, Ben Sandbank, Luca Onnis, and Shimon Edelman, An empirical generative framework for computational modeling of language acquisition, Journal of Child Language 37:671-703 (2010).
DIRain dynamics
Evan Balaban, Shimon Edelman, Sten Grillner, Uri Grodzinski, Erich D. Jarvis, Jon H. Kaas, Gilles Laurent, and Gordon Pipa, Evolution of Dynamic Coordination, in Dynamic Coordination in the Brain: From Neurons to Mind, edited by C. von der Malsburg, W. A. Phillips, and W. Singer. Strüngmann Forum Report, vol. 5 (MIT Press, 2010).

2009

PACLIC
Shimon Edelman and Zach Solan, Machine Translation Using Automatically Inferred Construction-based Correspondence and Language Models, Proc. 23rd Pacific Asia Conference on Language, Information, and Computation (PACLIC-23), Hong Kong, December 2009. [The pseudocode accompanying that paper is here] [If you happen to have been one of the reviewers of this paper for PACLIC, please read this].
uni
Heidi Waterfall and Shimon Edelman, The Neglected Universals: Learnability Constraints and Discourse Cues, a commentary on The myth of language universals: Language diversity and its importance for cognitive science by Evans and Levinson, Behavioral and Brain Sciences 32:471-472 (2009).
toSee
Shimon Edelman, On what it means to see, and what we can do about it, in Object Categorization: Computer and Human Vision Perspectives, S. Dickinson, A. Leonardis, B. Schiele, and M. J. Tarr, eds., chapter 4, pp. 69-86 (Cambridge University Press, 2009). Penultimate draft.

2008

varsetCOG
Luca Onnis, Heidi Waterfall, and Shimon Edelman, Learn Locally, Act Globally: Learning Language from Variation Set Cues, Cognition 109:423-430 (2008).
JoV
Martin Giese, Ian Thornton, and Shimon Edelman, Metrics of the perception of body movement, Journal of Vision 8:9:13 (2008).
TaC
Shimon Edelman, On the Nature of Minds, or: Truth and Consequences; this is a preprint of an article whose final and definitive form has been published in a special issue of the Journal of Experimental and Theoretical AI (JETAI), 20:181-196 © 2008 Taylor & Francis (with commentaries by Van Orden, Spivey & Anderson, Dietrich, and Markman). JETAI is available online at http://journalsonline.tandf.co.uk.
barJoke
Shimon Edelman, A swan, a pike, and a crawfish walk into a bar, Edelman's response to the commentaries on Truth and Consequences, JETAI 20:261-268, 2008 (see above).
memModel
Guy Tannenbaum, Yehezkel Yeshurun, and Shimon Edelman, Trade-off Between Capacity and Generalization in a Model of Memory, Proc. 30th Cognitive Science Society Conference, Washington, DC, July 2008.
entrenchment
Jonathan Berant, Catherine Caldwell-Harris, and Shimon Edelman, Tracks in the Mind: Differential Entrenchment of Common and Rare Liturgical and Everyday Multiword Phrases in Religious and Secular Hebrew Speakers, Proc. 30th Cognitive Science Society Conference, Washington, DC, July 2008.
varsets
Luca Onnis, Heidi Waterfall, and Shimon Edelman, Variation Sets Facilitate Artificial Language Learning, Proc. 30th Cognitive Science Society Conference, Washington, DC, July 2008.

2007

PoLR
Shimon Edelman and Heidi Waterfall, Behavioral and computational aspects of language and its acquisition, Physics of Life Reviews 4:253-277 (2007) [see the abstract].
cogsci07
Peter Brodsky, Heidi Waterfall, and Shimon Edelman, Characterizing Motherese: on the computational structure of child-directed language, in Proc. Cognitive Science Society Conference (2007).
bucld06
Jonathan Berant, Yaron Gross, Matan Mussel, Ben Sandbank, Eytan Ruppin, and Shimon Edelman, Boosting unsupervised grammar induction by splitting complex sentences on function words, in Proc. of the 31st Boston University Conference on Language Development (Cascadilla Press, 2007).
emcl
Shimon Edelman, Bridging language with the rest of cognition: computational, algorithmic and neurobiological issues and methods, in the Proceedings of the Ithaca EMCL workshop (John Benjamins, 2007).

2006

On Noë
Shimon Edelman, Mostly Harmless (review of Action in Perception by Alva Noë, MIT Press, 2005); Artificial Life 12:183-186 (2006).

2005

LAD
Zach Solan, David Horn, Eytan Ruppin, and Shimon Edelman, Unsupervised learning of natural languages, in Proc. Natl. Acad. Sci. 102:11629-11634 (August 16, 2005) [see the abstract and the supplementary material].
proteins
Vered Kunik, Zach Solan, Shimon Edelman, Eytan Ruppin and David Horn, Motif Extraction and Protein Classification, presented at CSB, August 2005.
visres05
Fiona N. Newell, Dianne M. Sheppard, Shimon Edelman, and Kimron L. Shapiro, The interaction of shape- and location-based priming in object categorisation: Evidence for a hybrid "what+where" representation stage, Vision Research 45:2065-2080 (2005).
bucld04
Shimon Edelman, Zach Solan, Eytan Ruppin and David Horn, Learning syntactic constructions from raw corpora, in Proc. of the 29th Boston University Conference on Language Development (Cascadilla Press, 2005).

2004

statistical learning in vision
Shimon Edelman and Nathan Intrator, Unsupervised statistical learning in vision: computational principles, biological evidence, extended abstract of invited talk at the ECCV-2004 Workshop on Statistical Learning in Computer Vision, Prague, May 2004.
psy-coling04
Bo Pedersen, Shimon Edelman, Zach Solan, David Horn, and Eytan Ruppin, Some Tests of an Unsupervised Model of Language Acquisition, in Proc. COLING-2004 Workshop on Psycho-computational Models of Human Language Acquisition, (Geneva, Switzerland, August 2004)
cogsci04
Shimon Edelman, Zach Solan, David Horn and Eytan Ruppin, Bridging computational, formal and psycholinguistic approaches to language, in Proc. of the 26th Conference of the Cognitive Science Society (Chicago, IL, August 2004), Ken Forbus, Dedre Gentner, and Terry Regier, eds.
on Briscoe
Shimon Edelman and Bo Pedersen, review of Linguistic Evolution through Language Acquisition (Ted Briscoe, ed., Cambridge University Press, 2002), Journal of Linguistics vol. 40(2):14-18, 2004.
nips03
Zach Solan, David Horn, Eytan Ruppin, and Shimon Edelman, Unsupervised context sensitive language acquisition from a large corpus, in Proc. 2003 Conf. on Neural Information Processing Systems (NIPS), L. Saul, ed., MIT Press, 2004 (not the final version!); [see abstract].
evolang
Zach Solan, David Horn, Eytan Ruppin, and Shimon Edelman, Evolution of language diversity: why fitness counts, in Proc. 4th International Conference on Language Evolution, M. Tallerman, ed., Oxford University Press (to appear) [not the final version!] [see abstract].
on Jackendoff
Shimon Edelman, Generative grammar with a human face? (a commentary on Foundations of language, R. Jackendoff, (Oxford University Press, 2003), Behavioral and Brain Sciences).

2003

representations and dynamical systems
Shimon Edelman, But will it scale up? Not without representations (a commentary on The dynamics of active categorical perception in an evolved model agent by R. Beer), Adaptive Behavior 11:273-275, 2003.
ADIOS/nips03
Shimon Edelman, Zach Solan, David Horn and Eytan Ruppin, Rich Syntax from a Raw Corpus: Unsupervised Does It, position paper presented at Syntax, Semantics and Statistics — a NIPS'03 workshop (Whistler, BC, Dec. 2003) [abstract].
nature of language
Shimon Edelman, A New Vision of Language:
learning language
Zach Solan, Eytan Ruppin, David Horn and Shimon Edelman, Unsupervised Efficient Learning and Representation of Language Structure, Proc. of the 25th Conference of the Cognitive Science Society (Boston, MA, July 2003), R. Alterman and D. Kirsh, eds.
minimalism
Shimon Edelman and Morten H. Christiansen, How seriously should we take Minimalist syntax? A comment on Lasnik, Trends in Cognitive Sciences, 7:59-60, February 2003.
bio-motion (ECVP abstract)
Ian M. Thornton, Martin A. Giese and Shimon Edelman, Representing biological motion, Proc. ECVP'03, Perception, September 2003.
bio-motion (VSS abstract)
Martin A. Giese, Ian M. Thornton and Shimon Edelman, Metric category spaces of biological motion, Proc. VSS'03, Journal of Vision, May 2003.
visual systematicity
Shimon Edelman and Nathan Intrator, Towards structural systematicity in distributed, statically bound visual representations, Cognitive Science, 27:73-110 (2003) [see abstract, and also our response to John Hummel's comments on this article, both published in Cognitive Science].

2002

final frontier
Shimon Edelman, Multidimensional space: the final frontier, Nature Neuroscience 5:1252-1254, 2002 (News and Views feature). [Note: the Nature proofreader changed the original "challenge" to "challange" in two places in this paper; in the version available here, I corrected this error].
linguistic structure
Zach Solan, Eytan Ruppin, David Horn and Shimon Edelman, Automatic acquisition and efficient representation of syntactic structures, in Proc. 2002 Conf. on Neural Information Processing Systems (NIPS), S. Thrun, ed., MIT Press, 2003 [see abstract].
visual structure
Shimon Edelman, Nathan Intrator and Judah S. Jacobson, Unsupervised learning of visual structure, Lecture Notes in Computer Science, vol. 2025, H. H. Bülthoff, T. Poggio, S. W. Lee and C. Wallraven, eds., 629-643, Springer, 2002 [see abstract].
phenomenology
Shimon Edelman, Constraining the neural representation of the visual world, Trends in Cognitive Sciences 6:125-131, 2002 [see abstract].
perceptual learning
Edelman, S., and N. Intrator, Models of perceptual learning, in Perceptual learning, M. Fahle and T. Poggio, eds., MIT Press, 2002.

2001

nips-01
Shimon Edelman, Benjamin P. Hiles, Hwajin Yang and Nathan Intrator, Probabilistic principles in unsupervised learning of visual structure: human data and a model (not the final version!), in Proc. 2001 Conf. on Neural Information Processing Systems (NIPS), S. Becker, ed., MIT Press, 2002 [see abstract].
translation (non)invariance
Dill, M., and S. Edelman, Imperfect invariance to object translation in the discrimination of complex shapes, Perception, 30:707-724 (2001) [see abstract]
handbook
Shimon Edelman and Nathan Intrator, Visual Processing of Object Structure, in The Handbook of Brain Theory and Neural Networks (2nd ed.), M. A. Arbib, ed., MIT Press, 2002.
neural spaces
S. Edelman, Neural spaces: a general framework for the understanding of cognition?, a commentary on Roger Shepard's BBS article, Perceptual-Cognitive Universals as Reflections of the World, Behavioral and Brain Sciences, 24 (2001).
face views
S. Edelman, and A. O'Toole, Viewpoint generalization in face recognition: The role of category-specific processes, in Computational, geometric, and process perspectives on facial cognition: Contexts and challenges, M. Wenger and J. Townsend, eds., Erlbaum (2001).

2000

nips-00
Shimon Edelman and Nathan Intrator, A productive, systematic framework for the representation of visual structure, in Proc. 2000 Conf. on Neural Information Processing Systems (NIPS), 10-16, T. Leen, ed., MIT Press, 2001 [see abstract].
David Marr's bio
S. Edelman and L. M. Vaina, David Marr (a short biography), International Encyclopaedia of Social and Behavioral Sciences, Pergamon, 2001.
struct
S. Edelman and N. Intrator, (Coarse Coding of Shape Fragments) + (Retinotopy) = Representation of Structure, Proc. Intl. Workshop on Object Recognition (OR'99), Bad Homburg, May 1999, Spatial Vision, 13:255-264, 2000 [see abstract].

1999

Teichmuller
Teichmuller spaces for shape representation   (this is Appendix C of my book, Representation and Recognition in Vision, MIT Press, May 1999)
Arbib-review
Review of Neural Organization (M. A. Arbib, P. Erdi and J. Szentagothai, MIT Press, 1998)
recog+categ
Duvdevani-Bar, S., and S. Edelman, Visual recognition and categorization on the basis of similarities to multiple class prototypes, Intl. J. of Computer Vision, 33:201-228 (1999) [see abstract]
on impenetrability
S. Edelman, No reconstruction, no impenetrability (at least not much), a commentary on Pylyshyn's BBS article, Is vision continuous with cognition?, Behavioral and Brain Sciences 22:376 (1999).
all the way
S. Edelman and E. M. Breen, On the virtues of going all the way, a commentary on Barsalou's BBS article, Perceptual Symbol Systems, Behavioral and Brain Sciences, 22:614 (1999).

1998

fMRI / shape space
S. Edelman, K. Grill-Spector, T. Kushnir, and R. Malach, Towards direct visualization of the internal shape representation space by fMRI, Psychobiology (special issue on Cognitive Neuroscience of Object Representation and Recognition), 26, 309-321, 1998 [see abstract].
face space
S. Edelman, Spanning the face space, Journal of Biological Systems, 6, 265-280, 1998 [see abstract]
structure-rep
S. Edelman and F. N. Newell, Iconic representation of object structure: evidence from differential priming of shape and location, Sussex University COGS CSRP 500, November 1998 [see abstract]
BBS/representation
Edelman, S., Representation is Representation of Similarities, Behavioral and Brain Sciences 21:449-498, 1998 [see abstract; the RESPONSE to the commentaries is here.]
VisRes/animals
Cutzu, F., and S. Edelman, Representation of object similarity in human vision: psychophysics and a computational model, Vision Research 38:2227-2257, 1998 [see abstract. A short version of this paper (in Proc. Natl. Acad. Sci., 1996) is also available.]

1997

simcat
Edelman, S., and S. Duvdevani-Bar, Similarity-based viewspace interpolation and the categorization of 3D objects, in Proc. Edinburgh Workshop on Similarity and Categorization, 75-81, November 1997. [see abstract]
theories of recognition
Edelman, S., Computational theories of object recognition, Trends in Cognitive Sciences, 1:296-304, 1997 [see abstract]
complex cells
Edelman, S., N. Intrator, and T. Poggio, Complex cells and object recognition, unpublished manuscript [see abstract]
rsoc
Edelman, S., and S. Duvdevani-Bar, A model of visual recognition and categorization, Phil. Trans. Royal Soc. (B), 352:1191-1202 (1997).
plm
Edelman, S., and N. Intrator, Learning as extraction of low-dimensional representations, in Mechanisms of Perceptual Learning, D. Medin, R. Goldstone, and P. Schyns, eds., (Psychology of Learning and Motivation series), Academic Press, 1997 [see abstract].
learn-low-dim
Intrator, N., and S. Edelman, Learning low dimensional representations of visual objects with extensive use of prior knowledge, Network, 8:259-281, 1997. [see abstract].

1996

hedgehogs
Edelman, S., H. H. Bülthoff, and I. Bülthoff, Effects of parametric manipulation of inter-stimulus similarity on 3D object recognition, Spatial Vision, 12:107-123, 1999 [see abstract].
veridical
Edelman, S., and S. Duvdevani-Bar, Similarity, connectionism, and the problem of representation in vision, Neural Computation 9:701-720 (1997) [see abstract].
reference-shapes
Edelman, S., F. Cutzu, and S. Duvdevani-Bar, Similarity to reference shapes as a basis for shape representation, in Proc. COGSCI'96, [see abstract].
word-senses
Karov, Y., and S. Edelman, Similarity-based word sense disambiguation, Computational Linguistics, 1998, 24: 41-59 [see abstract]

1995

vision-reanimated
Edelman, S., Vision Reanimated, unpublished manuscript [see abstract].
receptive-fields
Edelman, S., Receptive Fields for Vision: from Hyperacuity to Object Recognition, Weizmann Institute CS-TR 95-29, 1995 [see abstract].
learn-represent
Intrator, N., and S. Edelman, How to make a low-dimensional representation suitable for diverse tasks, Connection Science, 1996 [see abstract].
BCM-vs-PCA
Intrator N., S. Edelman and H. H. Bülthoff, An integrated approach to the study of object features in visual recognition, Network 6:603-618, 1995.
amit-BBS
Edelman, S., How representation works is more important than what representations are, A commentary on D. Amit, "The Hebbian paradigm reintegrated: Local reverberations as internal representations", Behavioral and Brain Sciences, 18:630-631, December 1995. [see abstract]
cs-tr-95-01
Cutzu, F., and S. Edelman, Explorations of shape space, Weizmann Institute CS-TR 95-01, 1995; a shorter version (Proc. Natl. Acad. Sci., 93:12046-12050, 1996) is here [see abstract].
nips-94
Grill Spector, K., S. Edelman, and R. Malach, Anatomical origin and computational role of diversity in the response properties of cortical neurons in Proc. 1994 Conf. on Neural Information Processing Systems (NIPS-7), 117-124, G. Tesauro, D. Touretzky, J. Alspector, eds., Morgan Kauffman, 1995 [see abstract].
tr-94-02
Edelman, S., Representation of similarity in 3D object discrimination, Weizmann Institute CS-TR 94-02, 1994, also Neural Computation 7:407-422, 1995. [see abstract].
maria
Lando, M., and S. Edelman, Generalization from a single view in face recognition, Weizmann Institute CS-TR 95-02, 1995; also published in Network 6:551-576, 1995. [see abstract]. A short 6-page version of this TR, presented at IWAFGR'95, is also available. Note.
animals
Edelman, S., Class similarity and viewpoint invariance in the recognition of 3D objects, Biol. Cybern., 72:207-220 (1995); [see abstract].
cs-tr-95-11
Duvdevani-Bar, S., and S. Edelman, On similarity to prototypes in 3D object representation, Weizmann Institute CS-TR 95-11, 1995 [see abstract].
hyperacuity
Edelman, S., and Y. Weiss, Vision: Hyperacuity, in The Handbook of Brain Theory and Neural Networks, M. A. Arbib, ed., 1009-1011, MIT Press, 1995.

1994

SPIE
Jungman, N., A. Levi, A. Aperman, and S. Edelman, Automatic classification of police mugshot album using principal component analysis, Proc.\SPIE-2243 (Conference on Applications of Artificial Neural Networks), 591-594, S. K. Rogers and D. W. Ruck, eds., Orlando, FL, March 1994.
mam
Edelman, S., Representation, Similarity and the Chorus of Prototypes, Weizmann Institute CS-TR 93-10, 1993 (revised June 1994); Minds and Machines, 5:45-68, 1995 [see abstract].
const
Edelman, S., and D. Weinshall, Computational approaches to object constancy, in Perceptual constancies, V. Walsh and J. Kulikowski, eds., Cambridge U. Press (1994) [see abstract].
canonical-views
Cutzu, F., and S. Edelman, Viewpoint-dependence of response time in object recognition, Vision Research, 34:3037-3056, 1994 [see abstract]
represent
Edelman, S., Representation without Reconstruction, CVGIP:IU, 60:92-94, 1994. [see abstract].
rfs-for-recog
Weiss, Y., and S. Edelman, Representation with receptive fields: gearing up for recognition, Weizmann Institute CS-TR 93-09, 1993 (revised January 1994). A revised version published as Representation of similarity as a goal of early visual processing, Network, 6:19-42, 1995 [see abstract].
robot-tr
Kamon, I., T. Flash, and S. Edelman, Learning to grasp using visual information, Weizmann Institute CS-TR 94-04, 1994 (a revised version, published in IEEE Transactions on Systems, Man, and Cybernetics 28:266-276, 1998, is here).
stereo-icpr94
Hel-Or, Y., and S. Edelman, A new approach to qualitative stereo, Proc. ICPR'94, Jerusalem, 316-320, 1994. [see abstract].
vision-language
Edelman, S., Biological Constraints and the Representation of Structure in Vision and Language, Psycoloquy, 5:57, Sept. 25, 1994. [see abstract].

1993

illusion
Edelman, S., The Illusion of Reality (a multiple book review), Mathematical Intelligencer 15(4):68-70 (1993).
yair-paper
Weiss, Y., S. Edelman, and M. Fahle, Models of perceptual learning in vernier hyperacuity, Neural Computation 5:695-718, 1993. [see abstract].
animals-evolution
Manolache, F., and S. Edelman, Generation of natural-looking 3D shapes by simulated evolution, Weizmann Institute CS-TR 93-13, 1993.
face-psych-tr
Moses, Y., S. Ullman, and S. Edelman, Generalization across changes in illumination and viewing position in upright and inverted faces, Weizmann Institute CS-TR 93-14, 1993; also Perception, 1996. [see abstract].
PAMI
Edelman, S., On learning to recognize 3D objects from examples, IEEE Trans. PAMI 15:833-837, 1993.
rfs-revised
Edelman, S., Representing 3D objects by sets of activities of receptive fields, Biological Cybernetics, 70:37-45, 1993. [see abstract].

1992

hyperacuity/science
Poggio, T., M. Fahle, and S. Edelman, Fast Perceptual Learning in Visual Hyperacuity, Science, New Series, 256:1018-1021 (1992).
pnas
H. H. Bülthoff and S. Edelman, Psychophysical support for a 2D view interpolation theory of object recognition, PNAS 89:60-64, 1992. [see abstract].
face-recog-tr
Edelman, S., D. Reisfeld and Y. Yeshurun, Learning to recognize faces from examples, Proc. 2nd European Conf. on Computer Vision, Lecture Notes in Computer Science 588:787-791, Springer, 1992.
cvgip
Poggio, T., S. Edelman and M. Fahle, Learning of visual modules from examples: a framework for understanding adaptive visual performance, Computer Vision, Graphics and Image Processing: Image Understanding 56:22-30, 1992.
encyc-ai
Edelman, S., Visual Perception, in the Encyclopedia of Artificial Intelligence, 2:1655-1663, S. Shapiro, ed., Wiley, 1992.
ijcnn
Edelman, S., and H. H. Bülthoff, Modeling human visual object recognition, Proc. Intl. Joint Conf. on Neural Networks IV:37-42, 1992.
ijprai
Edelman, S., and T. Poggio, Bringing the Grandmother back into the picture: a memory-based view of object recognition, Intl. J. of Pattern Recognition and Artificial Intelligence 6:37-62, 1992.
visres
Edelman, S., and H. H. Bülthoff, Orientation dependence in the recognition of familiar and novel views of 3D objects, Vision Research 32:2385-2400, 1992. [see abstract].
nips-91
Intrator, N., J. I. Gold, H. H. Bülthoff and S. Edelman, 3D object recognition using unsupervised feature extraction, in Proc. 1991 Conf. on Neural Information Processing Systems (NIPS), D. Tourezky, ed., Morgan Kauffman, 1992.

1991 and earlier

aim-1239
Edelman, S., and H. H. Bülthoff, Viewpoint-specific representations in three-dimensional object recognition, MIT AI Memo 1239, August 1990.
aim-1348
Edelman, S., H. H. Bülthoff and E. Sklar, Task and object learning in visual recognition, MIT AI Memo 1348, April 1991.
biocyb
Edelman, S., and D. Weinshall, A self-organizing multiple-view representation of 3D objects, Biological Cybernetics, 64, 209-219, 1991. [see abstract].
encyc-neuro
Edelman, S., and T. Poggio, Artificial Intelligence -- an update, in Neuroscience Year 1990 (supplement to the Encyclopedia of Neuroscience), B. Smith and G. Adelman, eds., Birkhauser Boston, 1991.
features
Edelman, S., The features of recognition, Weizmann Institute CS-TR 91-10, 1991.
iu
Edelman, S., and T. Poggio, Representations in high-level vision: reassessing the inverse optics paradigm, Proc. 1989 DARPA Image Understanding Workshop, 944-949.
nature
Poggio, T., and S. Edelman, A network that learns to recognize three-dimensional objects, Nature, 343:263-266, Jan. 1990. [see abstract].
net-recog
Edelman, S., A network model of object recognition in human vision, in Neural networks for perception, 1:25-40, H. Wechsler, ed., Academic Press, 1991.
wa-crc
Edelman, S., Local qualitative shape from stereo without detailed correspondence, Proc. AAAI-90 Workshop on Qualitative Vision, 101-105, Boston, 1990.
ijcv
Edelman, S., T. Flash, and S. Ullman, Reading cursive handwriting by alignment of letter prototypes, International Journal of Computer Vision, 5:303-331, 1990.
cvgip
Edelman, S. Line connectivity algorithms for an asynchronous parallel computer, Computer Vision, Graphics, and Image Processing, 40:169-187, 1987.
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Last modified on Wed Feb 26 09:10:38 2014