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» Invariances in kernel methods: From samples to objects
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ESANN
2007
13 years 9 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
CVPR
2004
IEEE
14 years 9 months ago
A Unified Spatio-Temporal Articulated Model for Tracking
Tracking articulated objects in image sequences remains a challenging problem, particularly in terms of the ability to localize the individual parts of an object given selfocclusi...
Xiangyang Lan, Daniel P. Huttenlocher
CGF
2006
198views more  CGF 2006»
13 years 7 months ago
Real-Time Weighted Pose-Space Deformation on the GPU
WPSD (Weighted Pose Space Deformation) is an example based skinning method for articulated body animation. The per-vertex computation required in WPSD can be parallelized in a SIM...
Taehyun Rhee, John P. Lewis, Ulrich Neumann
PAMI
2007
164views more  PAMI 2007»
13 years 7 months ago
Space-Time Completion of Video
—This paper presents a new framework for the completion of missing information based on local structures. It poses the task of completion as a global optimization problem with a ...
Yonatan Wexler, Eli Shechtman, Michal Irani
SIGMOD
2008
ACM
144views Database» more  SIGMOD 2008»
14 years 7 months ago
Mining significant graph patterns by leap search
With ever-increasing amounts of graph data from disparate sources, there has been a strong need for exploiting significant graph patterns with user-specified objective functions. ...
Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu