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CVPR
2001
IEEE
14 years 7 months ago
Rapid Object Detection using a Boosted Cascade of Simple Features
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This wor...
Paul A. Viola, Michael J. Jones
FGR
2004
IEEE
193views Biometrics» more  FGR 2004»
13 years 8 months ago
Face Recognition Using Ada-Boosted Gabor Features
Face representation based on Gabor features has attracted much attention and achieved great success in face recognition area for the advantages of the Gabor features. However, Gab...
Peng Yang, Shiguang Shan, Wen Gao, Stan Z. Li, Don...
ICML
2001
IEEE
14 years 5 months ago
Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection
In this paper, we examine the advantages and disadvantages of filter and wrapper methods for feature selection and propose a new hybrid algorithm that uses boosting and incorporat...
Sanmay Das
AUSDM
2008
Springer
367views Data Mining» more  AUSDM 2008»
13 years 7 months ago
Categorical Proportional Difference: A Feature Selection Method for Text Categorization
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
Mondelle Simeon, Robert J. Hilderman
PRL
2006
180views more  PRL 2006»
13 years 5 months ago
MutualBoost learning for selecting Gabor features for face recognition
This paper describes an improved boosting algorithm, the MutualBoost algorithm, and its application in developing a fast and robust Gabor feature based face recognition system. Th...
LinLin Shen, Li Bai