136 search results - page 24 / 28 » Efficient kernel feature extraction for massive data sets |
175
Voted
ICDE
2006
IEEE
16 years 1 months ago
2006
IEEE
Wireless sensor networks generate a vast amount of data. This data, however, must be sparingly extracted to conserve energy, usually the most precious resource in battery-powered ...
99
Voted
ACL
1998
15 years 1 months ago
1998
For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract valu...
110
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MMS
2008
14 years 11 months ago
2008
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
100
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PR
2008
14 years 11 months ago
2008
The spectrum of a graph has been widely used in graph theory to characterise the properties of a graph and extract information from its structure. It has also been employed as a g...
108
Voted
CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
Multiple-instance Learning (MIL) is a new paradigm
of supervised learning that deals with the classification of
bags. Each bag is presented as a collection of instances
from whi...