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» Support Vector Machines in Face Recognition with Occlusions
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ICCV
2003
IEEE
14 years 1 months ago
SVM-based Nonparametric Discriminant Analysis, An Application to Face Detection
Detecting the dominant normal directions to the decision surface is an established technique for feature selection in high dimensional classification problems. Several approaches...
Rik Fransens, Jan De Prins, Luc J. Van Gool
ICDAR
2011
IEEE
12 years 7 months ago
Lexicon-Free, Novel Segmentation of Online Handwritten Indic Words
—Research in the field of recognizing unlimited vocabulary, online handwritten Indic words is still in its infancy. Most of the focus so far has been in the area of isolated cha...
Suresh Sundaram, A. G. Ramakrishnan
IBPRIA
2009
Springer
14 years 14 days ago
Class Representative Visual Words for Category-Level Object Recognition
Recent works in object recognition often use visual words, i.e. vector quantized local descriptors extracted from the images. In this paper we present a novel method to build such ...
Roberto Javier López-Sastre, Tinne Tuytelaa...
CVPR
2007
IEEE
14 years 10 months ago
A Human Action Recognition System for Embedded Computer Vision Application
In this paper, we propose a human action recognition system suitable for embedded computer vision applications in security systems, human-computer interaction and intelligent envi...
Hongying Meng, Nick Pears, Chris Bailey
BIBM
2008
IEEE
172views Bioinformatics» more  BIBM 2008»
14 years 2 months ago
Boosting Methods for Protein Fold Recognition: An Empirical Comparison
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
Yazhene Krishnaraj, Chandan K. Reddy