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» Maximum Margin Temporal Clustering
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CSDA
2006
98views more  CSDA 2006»
13 years 8 months ago
Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...
Jukka Jokinen
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
13 years 6 months ago
A Sparsification Approach for Temporal Graphical Model Decomposition
Temporal causal modeling can be used to recover the causal structure among a group of relevant time series variables. Several methods have been developed to explicitly construct te...
Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang
SIGIR
2002
ACM
13 years 8 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
CORR
2010
Springer
204views Education» more  CORR 2010»
13 years 7 months ago
Predictive State Temporal Difference Learning
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
Byron Boots, Geoffrey J. Gordon
PAMI
2008
146views more  PAMI 2008»
13 years 8 months ago
Video Event Recognition Using Kernel Methods with Multilevel Temporal Alignment
In this work, we systematically study the problem of event recognition in unconstrained news video sequences. We adopt the discriminative kernel-based method for which video clip s...
Dong Xu, Shih-Fu Chang