156 search results - page 5 / 32 » Incorporating Diversity in Active Learning with Support Vect... |
CVPR
2005
IEEE
14 years 9 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...
NIPS
1996
13 years 9 months ago
1996
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
ICONIP
1998
13 years 9 months ago
1998
In this paper, we study the use of support vector machine in text categorization. Unlike other machine learning techniques, it allows easy incorporation of new documents into an e...
ML
2010
ACM
13 years 6 months ago
2010
ACM
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...