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CVPR
2003
IEEE
16 years 6 months ago
A 2D Moving Grid Geometric Deformable Model
Geometric deformable models based on the level set method have become very popular in the last several years. To overcome an inherent limitation in accuracy while maintaining comp...
Xiao Han, Chenyang Xu, Jerry L. Prince
SCALESPACE
2009
Springer
15 years 11 months ago
Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
Nicolas Thorstensen, Florent Ségonne, Renau...
ECCV
2008
Springer
16 years 6 months ago
Learning for Optical Flow Using Stochastic Optimization
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
Yunpeng Li, Daniel P. Huttenlocher
ICAS
2008
IEEE
274views Robotics» more  ICAS 2008»
15 years 11 months ago
Model-Driven Engineering of Multi-target Plastic User Interfaces
A Multi-target user interface is composed of a series of interconnected variations of the same user interfaces, but tailored for different targets or different contexts of use. Wh...
Benoît Collignon, Jean Vanderdonckt, Gaë...
SEMCO
2007
IEEE
15 years 11 months ago
Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Dong Yu, Li Deng