1956 search results - page 205 / 392 » Learning the Relative Importance of Features in Image Data |
146
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MICCAI
2007
Springer
16 years 5 months ago
2007
Springer
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
154
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
Reseachers have verified that clothing provides information about the identity of the individual. To extract features from the clothing, the clothing region first must be localize...
129
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LREC
2010
15 years 5 months ago
2010
Learning texts contain much implicit knowledge which is ideally presented to the learner in a structured manner - a typical example being definitions of terms in the text, which w...
164
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MIR
2005
ACM
15 years 9 months ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
186
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...