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117
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NIPS
2007
15 years 4 months ago
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...
Matthias Bethge, Philipp Berens
CVPR
2005
IEEE
16 years 5 months ago
A Bayesian Hierarchical Model for Learning Natural Scene Categories
We propose a novel approach to learn and recognize natural scene categories. Unlike previous work [9, 17], it does not require experts to annotate the training set. We represent t...
Fei-Fei Li 0002, Pietro Perona, California Institu...
150
Voted
SG
2010
Springer
15 years 8 months ago
Articulate: A Semi-automated Model for Translating Natural Language Queries into Meaningful Visualizations
While many visualization tools exist that offer sophisticated functions for charting complex data, they still expect users to possess a high degree of expertise in wielding the to...
Yiwen Sun, Jason Leigh, Andrew E. Johnson, Sangyoo...
FMSB
2008
142views Formal Methods» more  FMSB 2008»
15 years 5 months ago
Generic Reactive Animation: Realistic Modeling of Complex Natural Systems
Abstract. Natural systems, such as organs and organisms, are largescale complex systems with numerous elements and interactions. Modeling such systems can lead to better understand...
David Harel, Yaki Setty
AFS
2011
49views more  AFS 2011»
14 years 3 months ago
Towards an (Even More) Natural Probabilistic Interpretation of Fuzzy Transforms (and of Fuzzy Modeling)
In many practical applications, it turns out to be useful to use the notion of fuzzy transform: once we have functions A1(x) ≥ 0, . . . , An ≥ 0, with n∑ i=1 Ai(x) = 1, we c...
Irina Perfilieva, Vladik Kreinovich