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» Fluid Dynamics Models for Low Rank Discriminant Analysis
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JMLR
2010
128views more  JMLR 2010»
11 years 1 months ago
Fluid Dynamics Models for Low Rank Discriminant Analysis
We consider the problem of reducing the dimensionality of labeled data for classification. Unfortunately, the optimal approach of finding the low-dimensional projection with minim...
Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee
CVPR
2007
IEEE
12 years 8 months ago
Modeling Appearances with Low-Rank SVM
Several authors have noticed that the common representation of images as vectors is sub-optimal. The process of vectorization eliminates spatial relations between some of the near...
Lior Wolf, Hueihan Jhuang, Tamir Hazan
HPCC
2010
Springer
11 years 5 months ago
Performance Analysis of Scientific and Engineering Applications Using MPInside and TAU
In this paper, we present performance analysis of two NASA applications using performance tools like Tuning and Analysis Utilities (TAU) and SGI MPInside. MITgcmUV and OVERFLOW ar...
Subhash Saini, Piyush Mehrotra, Kenichi Taylor, Sa...
BMCBI
2008
164views more  BMCBI 2008»
11 years 6 months ago
Word correlation matrices for protein sequence analysis and remote homology detection
Background: Classification of protein sequences is a central problem in computational biology. Currently, among computational methods discriminative kernel-based approaches provid...
Thomas Lingner, Peter Meinicke
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
11 years 8 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
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