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ICCV
2003
IEEE
16 years 6 months ago
Ranking Prior Likelihood Distributions for Bayesian Shape Localization Framework
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
Shuicheng Yan, Mingjing Li, HongJiang Zhang, QianS...
MICCAI
2007
Springer
16 years 5 months ago
Active-Contour-Based Image Segmentation Using Machine Learning Techniques
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
Patrick Etyngier, Florent Ségonne, Renaud K...
GCC
2005
Springer
15 years 10 months ago
Supporting Remote Collaboration Through Structured Activity Logging
Abstract. This paper describes an integrated architecture for online collaborative multimedia (audio and text) meetings which supports the recording of participants' audio exc...
Matt-Mouley Bouamrane, Saturnino Luz, Masood Masoo...
IJON
2007
79views more  IJON 2007»
15 years 4 months ago
Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro
Stationary spiking of single neurons is often modelled by a renewal point process. Here, we tested the underlying model assumption that the inter-spike intervals are mutually inde...
Martin P. Nawrot, Clemens Boucsein, Victor Rodrigu...
TWC
2010
14 years 11 months ago
Temporal Spectrum Sharing Based on Primary User Activity Prediction
Abstract--In this paper we investigate the opportunistic spectrum access in temporal domain where a secondary user shares a radio channel with a primary user during the OFF period ...
Ki Won Sung, Seong-Lyun Kim, Jens Zander