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BIOINFORMATICS
2005
109views more  BIOINFORMATICS 2005»
13 years 9 months ago
Prediction error estimation: a comparison of resampling methods
In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future obser...
Annette M. Molinaro, Richard Simon, Ruth M. Pfeiff...
ICDAR
2011
IEEE
12 years 8 months ago
A New Feature Optimization Method Based on Two-Directional 2DLDA for Handwritten Chinese Character Recognition
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
Xue Gao, Wenhuan Wen, Lianwen Jin
ICMCS
2010
IEEE
172views Multimedia» more  ICMCS 2010»
13 years 10 months ago
Pixel-based motion vector concatenation for Reference Picture Selection
Reference Picture Selection (RPS) is a powerful error control technique for video streaming. Previously, two fast block-based motion vector concatenation (MVC) algorithms were pro...
Hadi Hadizadeh, Ivan V. Bajic
ICDAR
2009
IEEE
14 years 3 months ago
Scalable Feature Extraction from Noisy Documents
We cope with the metadata recognition in layoutoriented documents. We address the problem as a classification task and propose a method for automatic extraction of relevant featu...
Loïc Lecerf, Boris Chidlovskii
AUSAI
2006
Springer
13 years 11 months ago
An Efficient Alternative to SVM Based Recursive Feature Elimination with Applications in Natural Language Processing and Bioinfo
The SVM based Recursive Feature Elimination (RFE-SVM) algorithm is a popular technique for feature selection, used in natural language processing and bioinformatics. Recently it wa...
Justin Bedo, Conrad Sanderson, Adam Kowalczyk