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» Using a Non-prior Training Active Feature Model
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TIP
2008
169views more  TIP 2008»
15 years 1 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
PR
2008
144views more  PR 2008»
15 years 1 months ago
Gesture spotting for low-resolution sports video annotation
Human gesture recognition plays an important role in automating the analysis of video material at a high level. Especially in sports videos, the determination of the player's...
Myung-Cheol Roh, William J. Christmas, Josef Kittl...
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
16 years 2 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
SCIA
2007
Springer
162views Image Analysis» more  SCIA 2007»
15 years 8 months ago
A Robust Approach for 3D Cars Reconstruction
Computing high quality 3D models from multi-view stereo reconstruction is an active topic as can be seen in a recent review [15]. Most approaches make the strong assumption that th...
Adrien Auclair, Laurent D. Cohen, Nicole Vincent

Publication
173views
14 years 29 days ago
Max-Flow Segmentation of the Left Ventricle by Recovering Subject-Specific Distributions via a Bound of the Bhattacharyya Measur
This study investigates fast detection of the left ventricle (LV) endo- and epicardium boundaries in a cardiac magnetic resonance (MR) sequence following the optimization of two or...
Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punitha...