- Describing Visual Scenes using Transformed Objects and Parts
- Closing the Loop in Scene Interpretation Derek Hoiem
- Boosting Unsupervised Grammar Induction by Splitting Complex Sentences on Function Words
- Submitted to NIPS*97, Section: Visual Processing. Presentation Preference: Oral. Complex Cells and Object Recognition
- Proc. Natl. Acad. Sci. USA Vol. 93, pp. 1204612050, October 1996
- Visual Recognition, Circa 2007 Pietro Perona
- Spatial ensemble statistics are efficient codes that can be represented with reduced attention
- Language Emergence Brian MacWhinney
- Scene Summarization for Online Image Collections Ian Simon Noah Snavely Steven M. Seitz
- VISION REANIMATED Shimon Edelman
- DOI: 10.1126/science.1160028 , 1502 (2008);321Science
- The metaphysics of embodiment Shimon Edelman
- Unsupervised Induction of Stochastic Context-Free Grammars
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- Semi-supervised Learning in Gigantic Image Collections
- Semantic Label Sharing for Learning with Many Categories
- Regarding Reality: Some Consequences of Two Incapacities Shimon Edelman
- Constraints on the nature of the neural representation of the visual Shimon Edelman
- Unsupervised context sensitive language acquisition from a large corpus
- Generalization to Novel Images in Upright and Inverted Faces
- Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships
- Tracks in the Mind: Differential Entrenchment of Common and Rare Liturgical and Everyday Multiword Phrases in Religious and Secular Hebrew Speakers
- Learning Syntactic Constructions from Raw Corpora Shimon Edelman,1
- a brush with eternity a glimpse of infinity
- Towards a computational theory of experience Tomer Fekete a,
- E X P E R T O P I N I O N 8 1541-1672/09/$25.00 2009 IEEE iEEE iNTElliGENT SYSTEMS
- Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models
- R E V I E W S NATURE REVIEWS | NEUROSCIENCE VOLUME 5 | APRIL 2004 | 291
- How seriously should we take Minimalist syntax? A comment on Shimon Edelman and Morten H. Christiansen
- Behavioral/Systems/Cognitive Selectivity and Tolerance ("Invariance") Both Increase as
- Estimating perception of scene layout properties from global image features
- Recognition of natural scenes from global properties: Seeing the forest without representing the trees
- Research Article The Briefest of Glances
- Journal of Experimental Psychology: Human Perception and Performance
- SUN Database: Large-scale Scene Recognition from Abbey to Zoo Jianxiong Xiao James Hays
- Small Codes and Large Image Databases for Recognition Antonio Torralba1
- This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research
- An empirical generative framework for computational modeling of language acquisition*
- Evolution of Dynamic Coordination
- Machine Translation Using Automatically Inferred Construction-based Correspondence and Language Models
- On the Nature of Minds, or: Truth and Consequences Shimon Edelman
- A swan, a pike, and a crawfish walk into a bar Shimon Edelman
- Trade-off Between Capacity and Generalization in a Model of Memory Guy Tannenbaum (guy tannenbaum@yahoo.com) and Yehezkel Yeshurun (hezy@post.tau.ac.il)
- Variation Sets Facilitate Artificial Language Learning Luca Onnis (lo35@cornell.edu) Heidi Waterfall (he32@cornell.edu)1
- Book Review: Mostly Harmless Shimon Edelman Department of Psychology
- Motif Extraction and Protein Classification Vered Kunik1
- Some Tests of an Unsupervised Model of Language Acquisition Bo Pedersen and Shimon Edelman
- Ted Briscoe (ed.), Linguistic Evolution through Language Acquisition. Cambridge, UK: Cambridge University Press, 2002. Pp. vii + 349.
- Probabilistic principles in unsupervised learning of visual structure: human data and a model
- Quantitative Models of Face Cognition 1 Viewpoint generalization in face recognition
- Shape representation by econd-order somorphism, and
- Similarity-based viewspace interpolation and the categorization of 3D objects
- Computational theories of object recognition Shimon Edelman
- Network: Comput. Neural Syst. 8 (1997) 259281. Printed in the UK PII: S0954-898X(97)83810-9 Learning low-dimensional representations via the usage of
- Similarity-based Word Sense Disambiguation
- Proc. Natl. Acad. Sci. USA Vol. 93, pp. 12046-12050, October 1996
- Network: Computationin Neural Systems 6 (1995) 551-576. Printed in the UK Receptive field spaces and class-basedgeneralization from
- ACKNOWLEDGMENT The author enjoyed stimulating interaction with T. Y. Kong on
- Proc. Nati. Acad. Sci. USA Vol. 89, pp. 60-64, January 1992
- Local qualitative shape from stereo without detailed correspondence
- COMPIJTER VISION, GRAPHICS, AND IMAGE PROCESSING 40, 169-187 (1987) Line Connectivity Algorithms for an Asynchronous
- Computing the Mind How the Mind Really Works
- Why is Real-World Visual Object Recognition Nicolas Pinto1,2[
- Psychological Science The Author(s) 2010
- What Response Properties Do Individual Neurons Need to Underlie Position and Clutter "Invariant" Object Recognition?
- Int J Comput Vis DOI 10.1007/s11263-007-0090-8
- Representing Object Structure * RECOGNITION: how to deal with novel views of shapes?
- Towards structural systematicity in distributed, statically bound visual representations
- Language Acquisition in Humans and Computers syllabus --
- week 2: computational aspects of grammar acquisition 1. P. Adriaans and M. van Zaanen,
- PERGA.DOC 900925/901106/910330 THE LEXICON GRAMMAR OF A LANGUAGE
- Real Language Users Ngoni Chipere
- Psycholinguistic Studies of Entrenchment Harris, C.L. 1994b. Coarse coding and the lexicon. In C. Fuchs and B. Victorri,
- In Categories and Processes in Language Acquisition, Y. Levy, I. M. Schlesinger and M. D. S. Braine (eds.), Hillsdale, New Jersey: Lawrence Erlbaum Associates, 1988.
- Martinez-Conde, Macknik, Martinez, Alonso & Tse (Eds.) Progress in Brain Research, Vol. 155
- Representing 3D objects by sets of activities of receptive elds Shimon Edelman
- Emile 4.1.6 Marco Vervoort
- Research Article Statistical Learning Using
- A1 A2 B1 B2 A A B B A A B B
- International Journal of Computer Vision, 5:3, 303-331 (1990) 1990 Kluwer Academic Publishers, Manufactured in The Netherlands.
- But will it scale up? Not without representations. A commentary on The dynamics of active categorical perception in
- Pseudocode for Edelman & Solan (2009) The present document contains the pseudocode that did not fit into the eight pages allotted to our pa-
- Geometric Context from a Single Image Derek Hoiem Alexei A. Efros Martial Hebert
- Unsupervised learning of visual structure Shimon Edelman1
- The interaction of shape-and location-based priming in object categorisation: Evidence for a hybrid ``what + where''
- DOI: 10.1126/science.1195870 , 83 (2011);331Science
- Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency
- Automatic acquisition and efficient representation of syntactic structures
- "This is a surprising book. On page 1, I was told that it contains a map of the London Underground; on page 275, I discovered why, and the pages accidentally viewed between had me trapped. Almost every one has an
- Measuring Mental Entrenchment of Phrases with Perceptual Identification, Familiarity Ratings, and Corpus
- a Taylor & Francis journal Journal of Experimental and Theoretical Artificial Intelligence
- Evolution of language diversity: the survival of the fitness Zach Solan, Eytan Ruppin, David Horn
- Automatic acquisition and efficient representation of syntactic structures
- Object Categorization: Computer and Human Vision Perspectives
- The representation of subordinate shape similarity in human occipitotemporal cortex
- Weizmann Institute of Science Spring 1995 Dept. of Applied Math and CS Tuesdays, 9am, FGS rm. 3
- Foundations and Trends R Computer Graphics and Vision
- Object Recognition: more than remembrance
- Local statistical learning under cross-situational uncertainty Luca Onnis (lucao@hawaii.edu)
- The Role of Hierarchy in Learning to Categorize Images Reza Shahbazi (rs689@cornell.edu)
- Biol. Cybern, 70, 37-45 (1993) Biolog .,al Cytmetics9 Springer-Verlag1993
- Introduction "The relation of experience to time has not been profoundly studied. Its
- Learning as extraction of low-dimensional representations Shimon Edelman
