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» Pose Classification Using Support Vector Machines
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MMM
2006
Springer
133views Multimedia» more  MMM 2006»
15 years 3 months ago
A SVM-based personal recommendation system for TV programs
This paper presents a SVM-based prediction approach for constructing personal recommendation system for TV programs. We have applied Support Vector Machine (SVM) to personal predi...
Jin An Xu, Kenji Araki
AVBPA
2005
Springer
316views Biometrics» more  AVBPA 2005»
15 years 3 months ago
Local Feature Based 3D Face Recognition
This paper presents a 3D face recognition system based on geometrically localized facial features. We propose the feature extraction procedure using the geometrical characteristics...
Yonguk Lee, Hwanjong Song, Ukil Yang, Hyungchul Sh...
ISNN
2005
Springer
15 years 3 months ago
Non-parametric Statistical Tests for Informative Gene Selection
This paper presents two non-parametric statistical test methods, called Kolmogorov-Smirnov (KS) and U statistic test methods, respectively, for informative gene selection of a tumo...
Jinwen Ma, Fuhai Li, Jianfeng Liu
ICDM
2003
IEEE
105views Data Mining» more  ICDM 2003»
15 years 3 months ago
SVM Based Models for Predicting Foreign Currency Exchange Rates
Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA bas...
Joarder Kamruzzaman, Ruhul A. Sarker, Iftekhar Ahm...
CVPR
2010
IEEE
15 years 2 months ago
An Efficient Divide-and-Conquer Cascade for Nonlinear Object Detection
We introduce a method to accelerate the evaluation of object detection cascades with the help of a divide-andconquer procedure in the space of candidate regions. Compared to the e...
Christoph Lampert