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» An algorithmic approach to knowledge evolution
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ICCV
2005
IEEE
16 years 7 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ICPR
2006
IEEE
16 years 6 months ago
Learning Pairwise Similarity for Data Clustering
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...
Ana L. N. Fred, Anil K. Jain
ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
16 years 1 days ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
IPPS
2006
IEEE
15 years 11 months ago
Cooperative checkpointing theory
Cooperative checkpointing uses global knowledge of the state and health of the machine to improve performance and reliability by dynamically deciding when to skip checkpoint reque...
Adam J. Oliner, Larry Rudolph, Ramendra K. Sahoo
212
Voted
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
15 years 11 months ago
Discovering biological motifs with genetic programming
Choosing the right representation for a problem is important. In this article we introduce a linear genetic programming approach for motif discovery in protein families, and we al...
Rolv Seehuus, Amund Tveit, Ole Edsberg