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» Learning a Generative Model for Structural Representations
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CVPR
2007
IEEE
15 years 6 months ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao
MAICS
2003
15 years 1 months ago
Representing Symbolic Reasoning
Introspection is a fundamental component of how we as humans reason, learn, and adapt. However, many existing computer reasoning systems exclude the possibility of introspection b...
Brian E. Mastenbrook, Eric G. Berkowitz
CVPR
2011
IEEE
14 years 9 months ago
Learning Hierarchical Poselets for Human Parsing
We consider the problem of human parsing with partbased models. Most previous work in part-based models only considers rigid parts (e.g. torso, head, half limbs) guided by human a...
Yang Wang, Duan Tran, Zicheng Liao
AAAI
2006
15 years 1 months ago
Learning Systems of Concepts with an Infinite Relational Model
Relationships between concepts account for a large proportion of semantic knowledge. We present a nonparametric Bayesian model that discovers systems of related concepts. Given da...
Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griff...
WWW
2007
ACM
16 years 14 days ago
Computer-Supported Collaborative Knowledge Modeling in Ecology
We describe collaborative efforts between a knowledge representation team, a community of scientists, and scientific information managers in developing knowledge models for ecolog...
Deana Pennington, Joshua S. Madin, Ferdinando Vill...