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» Parallelizing Feature Selection
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IROS
2006
IEEE
119views Robotics» more  IROS 2006»
15 years 10 months ago
Learning Similar Tasks From Observation and Practice
— This paper presents a case study of learning to select behavioral primitives and generate subgoals from observation and practice. Our approach uses local features to generalize...
Darrin C. Bentivegna, Christopher G. Atkeson, Gord...
ICCV
1999
IEEE
15 years 8 months ago
Motion Segmentation based on Factorization Method and Discriminant Criterion
A motion segmentation algorithm based on factorization method and discriminant criterion is proposed. This method uses a feature with the most useful similarities for grouping, se...
Naoyuki Ichimura
127
Voted
WSCG
2001
97views more  WSCG 2001»
15 years 5 months ago
A Non-Hierarchical Procedure for Re-Synthesis of Complex Textures
A procedure is described for synthesizing an image with the same texture as a given input image. To achieve this, the output image is built up by successively adding pixels select...
Paul Harrison
ICIP
2010
IEEE
15 years 2 months ago
Towards computational models of kinship verification
We tackle the challenge of kinship verification using novel feature extraction and selection methods, automatically classifying pairs of face images as "related" or &quo...
Ruogu Fang, Kevin D. Tang, Noah Snavely, Tsuhan Ch...
INTERSPEECH
2010
14 years 11 months ago
Improved language recognition using mixture components statistics
One successful approach to language recognition is to focus on the most discriminative high level features of languages, such as phones and words. In this paper, we applied a simi...
Abualsoud Hanani, Michael J. Carey 0002, Martin J....