634 search results - page 28 / 127 » Classifying racist texts using a support vector machine |
124
Voted
CASCON
2001
15 years 5 months ago
2001
The main problems in text classification are lack of labeled data, as well as the cost of labeling the unlabeled data. We address these problems by exploring co-training - an algo...
142
Voted
JMLR
2008
15 years 3 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
147
Voted
ICMCS
2006
IEEE
15 years 9 months ago
2006
IEEE
Content-based classification of audio data is an important problem for various applications such as overall analysis of audio-visual streams, boundary detection of video story se...
112
Voted
IJBI
2010
14 years 10 months ago
2010
Size Functions and Support Vector Machines are used to implement a new automatic classifier of melanocytic lesions. This is mainly based on a qualitative assessment of asymmetry, ...
148
Voted
CVPR
2005
IEEE
16 years 5 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...