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» On Kernel Methods for Relational Learning
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COLT
2010
Springer
15 years 1 months ago
Forest Density Estimation
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...
Anupam Gupta, John D. Lafferty, Han Liu, Larry A. ...
ICCAD
2001
IEEE
126views Hardware» more  ICCAD 2001»
16 years 3 days ago
Constraint Satisfaction for Relative Location Assignment and Scheduling
Tight data- and timing constraints are imposed by communication and multimedia applications. The architecture for the embedded processor imply resource constraints. Instead of ran...
Carlos A. Alba Pinto, Bart Mesman, Jochen A. G. Je...
CVPR
2006
IEEE
16 years 5 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
16 years 3 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
TOG
2008
102views more  TOG 2008»
15 years 3 months ago
Real-time data driven deformation using kernel canonical correlation analysis
Achieving intuitive control of animated surface deformation while observing a specific style is an important but challenging task in computer graphics. Solutions to this task can ...
Wei-Wen Feng, Byung-Uck Kim, Yizhou Yu