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» A Bayesian Approach to Tackling Hard Computational Problems
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95
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ACCV
2006
Springer
15 years 5 months ago
Online Updating Appearance Generative Mixture Model for Meanshift Tracking
This paper proposes an appearance generative mixture model based on key frames for meanshift tracking. Meanshift tracking algorithm tracks object by maximizing the similarity betwe...
Jilin Tu, Hai Tao, Thomas S. Huang
ICCV
2005
IEEE
15 years 4 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
73
Voted
ICCV
2003
IEEE
15 years 4 months ago
What Does Motion Reveal About Transparency?
The perception of transparent objects from images is known to be a very hard problem in vision. Given a single image, it is difficult to even detect the presence of transparent o...
Moshe Ben-Ezra, Shree K. Nayar
109
Voted
NIPS
2007
15 years 17 days ago
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
We present a novel message passing algorithm for approximating the MAP problem in graphical models. The algorithm is similar in structure to max-product but unlike max-product it ...
Amir Globerson, Tommi Jaakkola
ECCV
2008
Springer
16 years 1 months ago
Facial Expression Recognition Based on 3D Dynamic Range Model Sequences
Traditionally, facial expression recognition (FER) issues have been studied mostly based on modalities of 2D images, 2D videos, and 3D static models. In this paper, we propose a sp...
Yi Sun, Lijun Yin