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ICML
2007
IEEE
16 years 7 months ago
Sparse eigen methods by D.C. programming
Eigenvalue problems are rampant in machine learning and statistics and appear in the context of classification, dimensionality reduction, etc. In this paper, we consider a cardina...
Bharath K. Sriperumbudur, David A. Torres, Gert R....
RECOMB
2003
Springer
16 years 7 months ago
Finding recurrent sources in sequences
Many genomic sequences and, more generally, (multivariate) time series display tremendous variability. However, often it is reasonable to assume that the sequence is actually gene...
Aristides Gionis, Heikki Mannila
VLDB
2006
ACM
190views Database» more  VLDB 2006»
16 years 6 months ago
Online summarization of dynamic time series data
Managing large-scale time series databases has attracted significant attention in the database community recently. Related fundamental problems such as dimensionality reduction, tr...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
SODA
2010
ACM
208views Algorithms» more  SODA 2010»
16 years 4 months ago
Correlation Robust Stochastic Optimization
We consider a robust model proposed by Scarf, 1958, for stochastic optimization when only the marginal probabilities of (binary) random variables are given, and the correlation be...
Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Y...
SDM
2009
SIAM
140views Data Mining» more  SDM 2009»
16 years 3 months ago
Straightforward Feature Selection for Scalable Latent Semantic Indexing.
Latent Semantic Indexing (LSI) has been validated to be effective on many small scale text collections. However, little evidence has shown its effectiveness on unsampled large sca...
Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen