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ECCV
2008
Springer
16 years 8 months ago
Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers
Visual tracking is a challenging problem, as an object may change its appearance due to viewpoint variations, illumination changes, and occlusion. Also, an object may leave the fie...
Gérard G. Medioni, Qian Yu, Thang Ba Dinh
MICCAI
2010
Springer
15 years 5 months ago
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Samuel Kadoury, Nikos Paragios
ICMCS
2005
IEEE
119views Multimedia» more  ICMCS 2005»
16 years 12 days ago
A Model Based Energy Minimization Method for 3D Face Reconstruction
In the paper we present a model based method for generating 3D face models from multiple images by means of an energy minimization algorithm. The energy function takes into accoun...
Davide Onofrio, Stefano Tubaro
CCE
2006
15 years 6 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang
DATE
2008
IEEE
204views Hardware» more  DATE 2008»
16 years 1 months ago
Deep Submicron Interconnect Timing Model with Quadratic Random Variable Analysis
Shrinking feature sizes and process variations are of increasing concern in modern technology. It is urgent that we develop statistical interconnect timing models which are harmon...
Jun-Kuei Zeng, Chung-Ping Chen