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CVPR
2011
IEEE
15 years 1 months ago
Mining Discriminative Co-occurrence Patterns for Visual Recognition
The co-occurrence pattern, a combination of binary or local features, is more discriminative than individual features and has shown its advantages in object, scene, and action rec...
Junsong Yuan, Ming Yang, Ying Wu
BMCBI
2007
173views more  BMCBI 2007»
15 years 6 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
BMCBI
2007
109views more  BMCBI 2007»
15 years 6 months ago
TABASCO: A single molecule, base-pair resolved gene expression simulator
Background: Experimental studies of gene expression have identified some of the individual molecular components and elementary reactions that comprise and control cellular behavio...
Sriram Kosuri, Jason R. Kelly, Drew Endy
PETRA
2010
ACM
15 years 4 months ago
Integrating RFID on event-based hemispheric imaging for internet of things assistive applications
Automatic surveillance of a scene in a broad sense comprises one of the core modules of pervasive applications. Typically, multiple cameras are installed in an area to identify ev...
Vassilis Kolias, Ioannis Giannoukos, Christos Anag...
KDD
2005
ACM
205views Data Mining» more  KDD 2005»
15 years 11 months ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar