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» Iterative compression and exact algorithms
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CVPR
2007
IEEE
14 years 12 months ago
Optimal Step Nonrigid ICP Algorithms for Surface Registration
We show how to extend the ICP framework to nonrigid registration, while retaining the convergence properties of the original algorithm. The resulting optimal step nonrigid ICP fra...
Brian Amberg, Sami Romdhani, Thomas Vetter
ICISP
2010
Springer
14 years 1 months ago
Total Variation Minimization with Separable Sensing Operator
Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
Serge L. Shishkin, Hongcheng Wang, Gregory S. Hage...
ICALP
2000
Springer
14 years 1 months ago
Parallel Machine Scheduling Problems with Controllable Processing Times
We consider the problem of scheduling n independent jobs on m identical machines that operate in parallel. Each job has a controllable processing time. The fact that the jobs have...
Klaus Jansen, Monaldo Mastrolilli
ACISICIS
2008
IEEE
13 years 12 months ago
Efficient Projection for Compressed Sensing
Compressed sensing (CS), a joint compression and sensing process, is a emerging field of activity in which the signal is sampled and simultaneously compressed at a greatly reduced...
Vo Dinh Minh Nhat, Duc Vo, Subhash Challa, Sungyou...
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
13 years 11 months ago
Making k-means Even Faster
The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
Greg Hamerly