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» Spike Feature Extraction Using Informative Samples
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143
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CIKM
2010
Springer
14 years 11 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
127
Voted
VIS
2008
IEEE
204views Visualization» more  VIS 2008»
16 years 3 months ago
Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
Lars Linsen, Tran Van Long, Paul Rosenthal, Ste...
EVOW
2006
Springer
15 years 5 months ago
Robust SVM-Based Biomarker Selection with Noisy Mass Spectrometric Proteomic Data
Abstract. Computational analysis of mass spectrometric (MS) proteomic data from sera is of potential relevance for diagnosis, prognosis, choice of therapy, and study of disease act...
Elena Marchiori, Connie R. Jimenez, Mikkel West-Ni...
MM
2000
ACM
166views Multimedia» more  MM 2000»
15 years 6 months ago
Automatically extracting highlights for TV Baseball programs
In today’s fast-paced world, while the number of channels of television programming available is increasing rapidly, the time available to watch them remains the same or is decr...
Yong Rui, Anoop Gupta, Alex Acero
137
Voted
MMSP
2008
IEEE
349views Multimedia» more  MMSP 2008»
15 years 8 months ago
Content based image retrieval using curvelet transform
Abstract—Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic...
Ishrat Jahan Sumana, Md. Monirul Islam, Dengsheng ...