3250 search results - page 393 / 650 » Parameterized Learning Complexity |
124
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ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
The goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pix...
141
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ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
169
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AR
2007
15 years 4 months ago
2007
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...
137
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JIIS
2006
15 years 4 months ago
2006
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
137
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SIGCSE
2008
ACM
15 years 4 months ago
2008
ACM
Providing consistent, instant, and detailed feedback to students has been a big challenge in teaching Web based computing, given the complexity of project assignments and the comp...