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ESANN
2006
13 years 10 months ago
Learning Visual Invariance
Invariance is a necessary feature of a visual system able to recognize real objects in all their possible appearance. It is also the processing step most problematic to understand ...
Alessio Plebe
IVEVA
2004
13 years 10 months ago
Groups and Crowds with behaviors specified in the environment
Abstract. In this paper we describe a system where behavior of characters and groups of characters are determined by assigning attributes to groups and individuals hierarchically a...
Isaac Rudomín, Fernando Perez, Erik Mill&aa...
RIVF
2008
13 years 10 months ago
Unsupervised learning for image classification based on distribution of hierarchical feature tree
The classification image into one of several categories is a problem arisen naturally under a wide range of circumstances. In this paper, we present a novel unsupervised model for ...
Thach-Thao Duong, Joo-Hwee Lim, Hai-Quan Vu, Jean-...
NIPS
2003
13 years 10 months ago
Optimal Manifold Representation of Data: An Information Theoretic Approach
We introduce an information theoretic method for nonparametric, nonlinear dimensionality reduction, based on the infinite cluster limit of rate distortion theory. By constraining...
Denis V. Chigirev, William Bialek
CIKM
2009
Springer
14 years 3 months ago
Automobile, car and BMW: horizontal and hierarchical approach in social tagging systems
Social tagging systems have recently emerged as an effective way for users to annotate and organize large collections of resources on the Web. Moreover, they also facilitate an e...
Tom Chao Zhou, Irwin King