963 search results - page 142 / 193 » Active Learning by Labeling Features |
172
Voted
SIGIR
2008
ACM
15 years 4 months ago
2008
ACM
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
204
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VLDB
2003
ACM
16 years 4 months ago
2003
ACM
On the Semantic Web, data will inevitably come from many different ontologies, and information processing across ontologies is not possible without knowing the semantic mappings be...
152
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MM
2006
ACM
15 years 10 months ago
2006
ACM
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
150
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ICCV
2007
IEEE
16 years 6 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
138
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SDM
2009
SIAM
16 years 1 months ago
2009
SIAM
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...