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IRI
2007
IEEE
15 years 4 months ago
Enhancing Text Analysis via Dimensionality Reduction
Many applications require analyzing vast amounts of textual data, but the size and inherent noise of such data can make processing very challenging. One approach to these issues i...
David G. Underhill, Luke McDowell, David J. Marche...
87
Voted
CVPR
2010
IEEE
15 years 5 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
MM
2005
ACM
152views Multimedia» more  MM 2005»
15 years 3 months ago
Critical video quality for distributed automated video surveillance
Large-scale distributed video surveillance systems pose new scalability challenges. Due to the large number of video sources in such systems, the amount of bandwidth required to t...
Pavel Korshunov, Wei Tsang Ooi
HOTI
2008
IEEE
15 years 4 months ago
Adaptive Routing Strategies for Modern High Performance Networks
Today’s scalable high-performance applications heavily depend on the bandwidth characteristics of their communication patterns. Contemporary multi-stage interconnection networks...
Patrick Geoffray, Torsten Hoefler
ICS
2001
Tsinghua U.
15 years 2 months ago
Optimizing strategies for telescoping languages: procedure strength reduction and procedure vectorization
At Rice University, we have undertaken a project to construct a framework for generating high-level problem solving languages that can achieve high performance on a variety of pla...
Arun Chauhan, Ken Kennedy