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» A Model for Large Scale Self-Stabilization
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158
Voted
ICIP
2009
IEEE
16 years 4 months ago
Learning Large Margin Likelihoods For Realtime Head Pose Tracking
We consider the problem of head tracking and pose estimation in realtime from low resolution images. Tracking and pose recognition are treated as two coupled problems in a probabi...
145
Voted
CVPR
2012
IEEE
13 years 6 months ago
Fan Shape Model for object detection
We propose a novel shape model for object detection called Fan Shape Model (FSM). We model contour sample points as rays of final length emanating for a reference point. As in fo...
Xinggang Wang, Xiang Bai, Tianyang Ma, Wenyu Liu, ...
ICASSP
2011
IEEE
14 years 7 months ago
Modeling microstructure noise using Hawkes processes
Hawkes processes are used for modeling tick-by-tick variations of a single or of a pair of asset prices. For each asset, two counting processes (with stochastic intensities) are a...
Emmanuel Bacry, Sylvain Delattre, Marc Hoffmann, J...
128
Voted
CVPR
2007
IEEE
16 years 5 months ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn
140
Voted
CVPR
2010
IEEE
15 years 11 months ago
Detecting and Parsing Architecture at City Scale from Range Data
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
Alexander Toshev, Philippos Mordohai, Ben Taskar