Sciweavers

394 search results - page 30 / 79
» On Feature Extraction via Kernels
Sort
View
SMC
2007
IEEE
133views Control Systems» more  SMC 2007»
14 years 4 months ago
Text classification using multi-word features
—We carried out a series of experiments on text classification using multi-word features. An automated method was proposed to extract the multi-words from text data set and two d...
Wen Zhang, Taketoshi Yoshida, Xijin Tang
BMEI
2008
IEEE
14 years 4 months ago
Color and Position versus Texture Features for Endoscopic Polyp Detection
This paper presents a comparison of texture based and color and position based methods for polyp detection in endoscopic video images. Two methods for texture feature extraction t...
Luís A. Alexandre, Nuno Nobre, João ...
ICPR
2010
IEEE
13 years 8 months ago
Human Action Recognition Using Segmented Skeletal Features
We present a novel human action recognition system based on segmented skeletal features which are separated into several human body parts such as face, torso and limbs. Our propos...
Sang Min Yoon, Arjan Kuijper
IMCSIT
2010
13 years 7 months ago
The development features of the face recognition system
Nowadays personal identification is a very important issue. There is a wide range of applications in different spheres, such as video surveillance security systems, control of docu...
Rauf Sadykhov, Igor Frolov
TITB
2008
102views more  TITB 2008»
13 years 9 months ago
Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kern
Nonlinear classifiers, e.g., support vector machines (SVMs) with radial basis function (RBF) kernels, have been used widely for automatic diagnosis of diseases because of their hig...
Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Jo...