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ICCV
2003
IEEE
14 years 8 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
KBSE
2005
IEEE
13 years 11 months ago
Automated population of causal models for improved software risk assessment
Recent work in applying causal modeling (Bayesian networks) to software engineering has resulted in improved decision support systems for software project managers. Once the causa...
Peter Hearty, Norman E. Fenton, Martin Neil, Patri...
ICCV
2005
IEEE
14 years 8 months ago
Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance
Although variational methods are among the most accurate techniques for estimating the optical flow, they have not yet entered the field of real-time vision. Main reason is the gr...
Andrés Bruhn, Joachim Weickert
CVPR
2012
IEEE
11 years 8 months ago
Pedestrian detection at 100 frames per second
We present a new pedestrian detector that improves both in speed and quality over state-of-the-art. By efficiently handling different scales and transferring computation from tes...
Rodrigo Benenson, Markus Mathias, Radu Timofte, Lu...
ASPDAC
2001
ACM
126views Hardware» more  ASPDAC 2001»
13 years 10 months ago
A new partitioning scheme for improvement of image computation
Abstract-- Image computation is the core operation for optimization and formal verification of sequential systems like controllers or protocols. State exploration techniques based ...
Christoph Meinel, Christian Stangier