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» Learning Generic Prior Models for Visual Computation
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ECCV
2010
Springer
15 years 2 months ago
Cascaded Confidence Filtering for Improved Tracking-by-Detection
We propose a novel approach to increase the robustness of object detection algorithms in surveillance scenarios. The cascaded confidence filter successively incorporates constraint...
ECCV
2004
Springer
15 years 11 months ago
Interactive Image Segmentation Using an Adaptive GMMRF Model
The problem of interactive foreground/background segmentation in still images is of great practical importance in image editing. The state of the art in interactive segmentation is...
Andrew Blake, Carsten Rother, M. Brown, Patrick P&...
ECCV
2008
Springer
15 years 11 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
PDP
2002
IEEE
15 years 2 months ago
Scalable Monitoring and Configuration Tools for Grids and Clusters
We present the Ka-admin project that addresses the problem of collecting, visualizing and feeding back any grid information, trace or snapshot, compliant to an XML-like model. Rea...
Philippe Augerat, Cyrill Martin, Benhur Stein
CHI
2005
ACM
15 years 10 months ago
Examining task engagement in sensor-based statistical models of human interruptibility
The computer and communication systems that office workers currently use tend to interrupt at inappropriate times or unduly demand attention because they have no way to determine ...
James Fogarty, Andrew Jensen Ko, Htet Htet Aung, E...