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CVPR
2010
IEEE
16 years 2 months ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan
ISBI
2009
IEEE
16 years 1 months ago
Instance-Based Generative Biological Shape Modeling
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
Tao Peng, Wei Wang, Gustavo K. Rohde, Robert F. Mu...
WSDM
2009
ACM
148views Data Mining» more  WSDM 2009»
16 years 1 months ago
Information arbitrage across multi-lingual Wikipedia
The rapid globalization of Wikipedia is generating a parallel, multi-lingual corpus of unprecedented scale. Pages for the same topic in many different languages emerge both as a r...
Eytan Adar, Michael Skinner, Daniel S. Weld
PAKDD
2009
ACM
186views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
Su Yan, Hai Wang, Dongwon Lee, C. Lee Giles
DATE
2009
IEEE
131views Hardware» more  DATE 2009»
16 years 1 months ago
An event-guided approach to reducing voltage noise in processors
Abstract—Supply voltage fluctuations that result from inductive noise are increasingly troublesome in modern microprocessors. A voltage “emergency”, i.e., a swing beyond tol...
Meeta Sharma Gupta, Vijay Janapa Reddi, Glenn H. H...
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