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» Learning Generative Models via Discriminative Approaches
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ECAI
2008
Springer
13 years 9 months ago
An Analysis of Bayesian Network Model-Approximation Techniques
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Adamo Santana, Gregory M. Provan
WWW
2005
ACM
14 years 8 months ago
Ranking definitions with supervised learning methods
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts acc...
Jun Xu, Yunbo Cao, Hang Li, Min Zhao
PAMI
2008
183views more  PAMI 2008»
13 years 7 months ago
Shape-and-Behavior Encoded Tracking of Bee Dances
Behavior analysis of social insects has garnered impetus in recent years and has led to some advances in fields like control systems, flight navigation etc. Manual labeling of ins...
Ashok Veeraraghavan, Rama Chellappa, Mandyam Srini...
PERCOM
2009
ACM
14 years 2 months ago
A Dynamic Platform for Runtime Adaptation
—We present a middleware platform for assembling pervasive applications that demand fault-tolerance and adaptivity in distributed, dynamic environments. Unlike typical adaptive m...
Hubert Pham, Justin Mazzola Paluska, Umar Saif, Ch...
SMI
2008
IEEE
116views Image Analysis» more  SMI 2008»
14 years 2 months ago
Self-organizing primitives for automated shape composition
Motivated by the ability of living cells to form into specific shapes and structures, we present a new approach to shape modeling based on self-organizing primitives whose behavi...
Linge Bai, Manolya Eyiyurekli, David E. Breen