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» Learning Generative Models with the Up-Propagation Algorithm
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ICIP
2006
IEEE
16 years 4 months ago
A Generalized Discriminative Muitiple Instance Learning for Multimedia Semantic Concept Detection
In the paper we present a generalized discriminative multiple instance learning algorithm (GD-MIL) for multimedia semantic concept detection. It combines the capability of the MIL...
Sheng Gao, Qibin Sun
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 2 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
120
Voted
NN
2006
Springer
140views Neural Networks» more  NN 2006»
15 years 2 months ago
Neural mechanism for stochastic behaviour during a competitive game
Previous studies have shown that non-human primates can generate highly stochastic choice behaviour, especially when this is required during a competitive interaction with another...
Alireza Soltani, Daeyeol Lee, Xiao-Jing Wang
116
Voted
ISMIR
2004
Springer
118views Music» more  ISMIR 2004»
15 years 7 months ago
Learning to Align Polyphonic Music
We describe an efficient learning algorithm for aligning a symbolic representation of a musical piece with its acoustic counterpart. Our method employs a supervised learning appr...
Shai Shalev-Shwartz, Joseph Keshet, Yoram Singer
ICCV
2007
IEEE
16 years 4 months ago
Conditional State Space Models for Discriminative Motion Estimation
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
Minyoung Kim, Vladimir Pavlovic