1323 search results - page 40 / 265 » Feature Extraction for Machine Learning: Logic-Probabilistic... |
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Identification of prosodic phenomena is of first importance in prosodic analysis and modeling. In this paper, we introduce a new method for automatic prosodic phenomena labellin...
92
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ISMVL
1997
IEEE
15 years 1 months ago
1997
IEEE
In this paper, the minimization of incompletely specified multi-valued functions using functional decomposition is discussed. From the aspect of machine learning, learning sample...
91
Voted
EMNLP
2009
14 years 7 months ago
2009
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
119
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CVPR
2012
IEEE
13 years 3 days ago
2012
IEEE
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
110
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CHI
2011
ACM
14 years 1 months ago
2011
ACM
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...