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CVPR
2007
IEEE
16 years 3 months ago
Element Rearrangement for Tensor-Based Subspace Learning
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Hua...
KDD
1999
ACM
184views Data Mining» more  KDD 1999»
15 years 5 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim
PROCEDIA
2010
113views more  PROCEDIA 2010»
14 years 12 months ago
Exploring utilisation of GPU for database applications
This study is devoted to exploring possible applications of GPU technology for acceleration of the database access. We use the n-gram based approximate text search engine as a tes...
Slawomir Walkowiak, Konrad Wawruch, Marita Nowotka...
112
Voted
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 6 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
IPCCC
2007
IEEE
15 years 7 months ago
On Network Coding Based Multirate Video Streaming in Directed Networks
This paper focuses on network coding based multirate multimedia streaming in directed networks and aims at maximizing the total layers received by all receivers, which directly de...
Chen-guang Xu, Yinlong Xu, Cheng Zhan, Ruizhe Wu, ...