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» Experimental Comparison of Feature Subset Selection Methods
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MICCAI
2010
Springer
15 years 4 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...
BMCBI
2004
141views more  BMCBI 2004»
15 years 6 months ago
Estimates of statistical significance for comparison of individual positions in multiple sequence alignments
Background: Profile-based analysis of multiple sequence alignments (MSA) allows for accurate comparison of protein families. Here, we address the problems of detecting statistical...
Ruslan Sadreyev, Nick V. Grishin
ICIP
2009
IEEE
15 years 3 months ago
Cat face detection with two heterogeneous features
In this paper, we propose a generic and efficient object detection framework based on two heterogeneous features and demonstrate effectiveness of our method for a cat face detecti...
Tatsuo Kozakaya, Satoshi Ito, Susumu Kubota, Osamu...
MM
2005
ACM
171views Multimedia» more  MM 2005»
15 years 11 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
VLSID
2003
IEEE
82views VLSI» more  VLSID 2003»
16 years 6 months ago
SPaRe: Selective Partial Replication for Concurrent Fault Detection in FSMs
We propose a non-intrusive methodology for concurrent fault detection in FSMs. The proposed method is similar to duplication, wherein a replica of the circuit acts as a predictor ...
Petros Drineas, Yiorgos Makris