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» Learning Parts-Based Representations of Data
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CVPR
2008
IEEE
15 years 28 days ago
Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels
Systematic content screening of cell phenotypes in microscopic images has been shown promising in gene function understanding and drug design. However, manual annotation of cells ...
Jun Wang, Shih-Fu Chang, Xiaobo Zhou, Stephen T. C...
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
14 years 5 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
ROMAN
2007
IEEE
127views Robotics» more  ROMAN 2007»
14 years 5 months ago
Incremental on-line hierarchical clustering of whole body motion patterns
Abstract— This paper describes a novel algorithm for autonomous and incremental learning of motion pattern primitives by observation of human motion. Human motion patterns are ed...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
XIMEP
2005
ACM
106views Database» more  XIMEP 2005»
14 years 4 months ago
Combining a Publish and Subscribe Collaboration Architecture with XQuery Approaches
Markup languages, representations, schemas, and tools have significantly increased the ability for organizations to share their information. Languages such as the Extensible Marku...
M. Brian Blake, David H. Fado, Gregory A. Mack
IJCNN
2000
IEEE
14 years 3 months ago
Piecewise Linear Homeomorphisms: The Scalar Case
The class of piecewise linear homeomorphisms (PLH) provides a convenient functional representation for many applications wherein an approximation to data is required that is inver...
Richard E. Groff, Daniel E. Koditschek, Pramod P. ...