1514 search results - page 68 / 303 » Co-Tracking Using Semi-Supervised Support Vector Machines |
139
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CVPR
2005
IEEE
16 years 4 months ago
2005
IEEE
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
110
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ICMCS
2006
IEEE
15 years 8 months ago
2006
IEEE
In this paper an effective method of using SVM classifier for multiple feature classification is proposed. Compared with traditional combination methods where all needed base clas...
125
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MCS
2005
Springer
15 years 8 months ago
2005
Springer
A Half-Against-Half (HAH) multi-class SVM is proposed in this paper. Unlike the commonly used One-Against-All (OVA) and One-Against-One (OVO) implementation methods, HAH is built ...
108
Voted
ECAI
2004
Springer
15 years 8 months ago
2004
Springer
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
124
Voted
ICIP
2009
IEEE
15 years 8 days ago
2009
IEEE
Kernel-based methods, e.g., support vector machine (SVM), produce high classification performances. However, the computation becomes time-consuming as the number of the vectors su...