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CVPR
2003
IEEE
16 years 3 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...
ACL
2009
14 years 11 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
CVPR
2004
IEEE
16 years 3 months ago
A Variational Approach to Scene Reconstruction and Image Segmentation from Motion-Blur Cues
In this paper we are interested in the joint reconstruction of geometry and photometry of scenes with multiple moving objects from a collection of motion-blurred images. We make s...
Paolo Favaro, Stefano Soatto
DDECS
2009
IEEE
149views Hardware» more  DDECS 2009»
15 years 5 months ago
Physical design oriented DRAM Neighborhood Pattern Sensitive Fault testing
Although the Neighborhood Pattern Sensitive Fault (NPSF) model is recognized as a high quality fault model for memory arrays, the excessive test application time cost associated wi...
Yiorgos Sfikas, Yiorgos Tsiatouhas
FCCM
2009
IEEE
106views VLSI» more  FCCM 2009»
15 years 5 months ago
Optimal Placement-aware Trace-Based Scheduling of Hardware Reconfigurations for FPGA Accelerators
Modern use of FPGAs as hardware accelerators involves the partial reconfiguration of hardware resources as the application executes. In this paper, we present a polynomial time al...
Joon Edward Sim, Weng-Fai Wong, Jürgen Teich