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BMCBI
2004
205views more  BMCBI 2004»
15 years 6 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
PAMI
2002
112views more  PAMI 2002»
15 years 6 months ago
Recognizing Handwritten Digits Using Hierarchical Products of Experts
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The qua...
Guy Mayraz, Geoffrey E. Hinton
PAA
2007
15 years 5 months ago
Pairwise feature evaluation for constructing reduced representations
Feature selection methods are often used to determine a small set of informative features that guarantee good classification results. Such procedures usually consist of two compon...
Artsiom Harol, Carmen Lai, Elzbieta Pekalska, Robe...
INFOCOM
2010
IEEE
15 years 4 months ago
Refresh: Weak Privacy Model for RFID Systems
—Privacy-Preserving Authentication (PPA) is crucial for Radio Frequency Identifcation (RFID)-enabled applications. Without appropriate formal privacy models, it is difficult for...
Li Lu, Yunhao Liu, Xiang-Yang Li
PAMI
2010
174views more  PAMI 2010»
15 years 4 months ago
Skewed Rotation Symmetry Group Detection
—We present a novel and effective algorithm for affinely skewed rotation symmetry group detection from real-world images. We define a complete skewed rotation symmetry detectio...
Seungkyu Lee, Yanxi Liu