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» Robust Incremental Subspace Learning for Object Tracking
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JMLR
2002
106views more  JMLR 2002»
13 years 7 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
CVPR
2010
IEEE
14 years 3 months ago
An Object-Dependent Hand Pose Prior from Sparse Training Data
In this paper, we propose a prior for hand pose estimation that integrates the direct relation between a manipulating hand and a 3d object. This is of particular interest for a va...
Henning Hamer, Juergen Gall, Thibaut Weise, Luc Va...
PAMI
2010
265views more  PAMI 2010»
13 years 5 months ago
Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories
—In this paper, we study the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this proble...
Shankar Rao, Roberto Tron, René Vidal, Yi M...
MM
2005
ACM
250views Multimedia» more  MM 2005»
14 years 1 months ago
An object-based video coding framework for video sequences obtained from static cameras
This paper presents a novel object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods, the proposed method does not require...
Asaad Hakeem, Khurram Shafique, Mubarak Shah
IJCAI
2003
13 years 8 months ago
Spaces of Theories with Ideal Refinement Operators
Refinement operators for theories avoid the problems related to the myopia of many relational learning algorithms based on the operators that refine single clauses. However, the n...
Nicola Fanizzi, Stefano Ferilli, Nicola Di Mauro, ...