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» Multi-Instance Mixture Models
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94
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ESANN
2008
15 years 2 months ago
Phase transitions in Vector Quantization
Abstract. We study Winner-Takes-All and rank based Vector Quantization along the lines of the statistical physics of off-line learning. Typical behavior of the system is obtained w...
Aree Witoelar, Anarta Ghosh, Michael Biehl
102
Voted
NIPS
2001
15 years 2 months ago
Bayesian Predictive Profiles With Applications to Retail Transaction Data
Massive transaction data sets are recorded in a routine manner in telecommunications, retail commerce, and Web site management. In this paper we address the problem of inferring p...
Igor V. Cadez, Padhraic Smyth
97
Voted
NIPS
2003
15 years 2 months ago
Probabilistic Inference in Human Sensorimotor Processing
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
Konrad P. Körding, Daniel M. Wolpert
141
Voted
NIPS
2000
15 years 2 months ago
On Reversing Jensen's Inequality
Jensen's inequality is a powerful mathematical tool and one of the workhorses in statistical learning. Its applications therein include the EM algorithm, Bayesian estimation ...
Tony Jebara, Alex Pentland
AVSS
2009
IEEE
15 years 2 months ago
Robust Vehicle Detection for Tracking in Highway Surveillance Videos Using Unsupervised Learning
This paper presents a novel approach to vehicle detection in highway surveillance videos. This method incorporates well-studied computer vision and machine learning techniques to ...
Birgi Tamersoy, Jake K. Aggarwal