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PRL
2006
117views more  PRL 2006»
15 years 6 months ago
Feature selection in robust clustering based on Laplace mixture
A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
Aurélien Cord, Christophe Ambroise, Jean Pi...
ICIP
2010
IEEE
15 years 4 months ago
Robust object detection scheme using feature selection
Feature selection is an important issue for object detection. In this paper, we propose an effective wrapper-based feature selection scheme using Binary Particle Swarm Optimizatio...
Hong Pan, Liang-Zheng Xia, Truong Q. Nguyen
KDD
2007
ACM
142views Data Mining» more  KDD 2007»
16 years 6 months ago
Towards Privacy-Preserving Model Selection
Abstract. Model selection is an important problem in statistics, machine learning, and data mining. In this paper, we investigate the problem of enabling multiple parties to perfor...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
IPSN
2004
Springer
15 years 11 months ago
Entropy-based sensor selection heuristic for target localization
We propose an entropy-based sensor selection heuristic for localization. Given 1) a prior probability distribution of the target location, and 2) the locations and the sensing mod...
Hanbiao Wang, Kung Yao, Gregory J. Pottie, Deborah...
ICCAD
1994
IEEE
90views Hardware» more  ICCAD 1994»
15 years 10 months ago
Algorithm selection: a quantitative computation-intensive optimization approach
Given a set of specifications for a targeted application, algorithm selection refers to choosing the most suitable algorithm for a given goal, among several functionally equivalen...
Miodrag Potkonjak, Jan M. Rabaey