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SDM
2008
SIAM
147views Data Mining» more  SDM 2008»
13 years 10 months ago
The Asymmetric Approximate Anytime Join: A New Primitive with Applications to Data Mining
It has long been noted that many data mining algorithms can be built on top of join algorithms. This has lead to a wealth of recent work on efficiently supporting such joins with ...
Lexiang Ye, Xiaoyue Wang, Dragomir Yankov, Eamonn ...
ICML
2009
IEEE
14 years 9 months ago
Robust bounds for classification via selective sampling
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
Nicolò Cesa-Bianchi, Claudio Gentile, Franc...
PAMI
2008
270views more  PAMI 2008»
13 years 8 months ago
Randomized Clustering Forests for Image Classification
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
Frank Moosmann, Eric Nowak, Frédéric...
CORR
2008
Springer
170views Education» more  CORR 2008»
13 years 8 months ago
Fast Wavelet-Based Visual Classification
We investigate a biologically motivated approach to fast visual classification, directly inspired by the recent work [13]. Specifically, trading-off biological accuracy for comput...
Guoshen Yu, Jean-Jacques E. Slotine
CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
14 years 11 days ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang