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» Robust Feature Selection Algorithms
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ICDCSW
2008
IEEE
14 years 3 months ago
Heuristic Relay Node Selection Algorithm for One-Hop Overlay Routing
—This paper reviews the characteristics of overlay networks and defines effective relay nodes that can improve the performance of interactive real-time applications. A heuristic ...
Yin Chen, Li Tang, Jun Li
CORR
2008
Springer
170views Education» more  CORR 2008»
13 years 9 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
TCBB
2010
176views more  TCBB 2010»
13 years 7 months ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...
ICMCS
2009
IEEE
130views Multimedia» more  ICMCS 2009»
13 years 6 months ago
On improving the collision property of robust hashing based on projections
In this paper, we study the collision property of one of the robust hash functions proposed in [1]. This method was originally proposed for robust hash generation from blocks of i...
Regunathan Radhakrishnan, Wenyu Jiang, Claus Bauer
ICCV
2011
IEEE
12 years 9 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry