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» Optimal Segmentation of Random Sequences
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CVPR
2008
IEEE
16 years 1 months ago
Human action recognition using Local Spatio-Temporal Discriminant Embedding
Human action video sequences can be considered as nonlinear dynamic shape manifolds in the space of image frames. In this paper, we address learning and classifying human actions ...
Kui Jia, Dit-Yan Yeung
IROS
2009
IEEE
128views Robotics» more  IROS 2009»
15 years 6 months ago
Motion planning for active cannulas
— An active cannula is a medical device composed of thin, pre-curved, telescoping tubes that may enable many new surgical procedures. Planning optimal motions for these devices i...
Lisa A. Lyons, Robert J. Webster, Ron Alterovitz
RECOMB
2004
Springer
16 years 1 days ago
The evolutionary capacity of protein structures
In nature, one finds large collections of different protein sequences exhibiting roughly the same three-dimensional structure, and this observation underpins the study of structur...
Leonid Meyerguz, David Kempe, Jon M. Kleinberg, Ro...
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 6 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
TCS
2002
14 years 11 months ago
Asymptotic behavior in a heap model with two pieces
In a heap model, solid blocks, or pieces, pile up according to the Tetris game mechanism. An optimal schedule is an in nite sequence of pieces minimizing the asymptotic growth rat...
Jean Mairesse, Laurent Vuillon