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» Robust Feature Selection Algorithms
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134
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ICDCSW
2008
IEEE
15 years 8 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
98
Voted
CORR
2008
Springer
170views Education» more  CORR 2008»
15 years 2 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
146
Voted
TCBB
2010
176views more  TCBB 2010»
15 years 17 days 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...
121
Voted
ICMCS
2009
IEEE
130views Multimedia» more  ICMCS 2009»
14 years 12 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
116
Voted
ICCV
2011
IEEE
14 years 2 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