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ICIP
2009
IEEE
16 years 7 months ago
Learning Local Models For 2d Human Motion Tracking
We present a novel approach to tracking 2D human motion in uncalibrated monocular videos. Human motion usually exhibits timevarying patterns, and we propose to use locally learnt ...
ICDAR
2009
IEEE
16 years 20 days ago
A Probabilistic Framework for Soft Target Learning in Online Cursive Handwriting Recognition
To develop effective learning algorithms for online cursive word recognition is still a challenge research issue. In this paper, we propose a probabilistic framework to model the ...
Xiaoyuan Zhu, Yong Ge, Feng-Jun Guo, Li-Xin Zhen
CVPR
2008
IEEE
16 years 12 days ago
Fast kernel learning for spatial pyramid matching
Spatial pyramid matching (SPM) is a simple yet effective approach to compute similarity between images. Similarity kernels at different regions and scales are usually fused by som...
Junfeng He, Shih-Fu Chang, Lexing Xie
ISCAS
2008
IEEE
169views Hardware» more  ISCAS 2008»
16 years 10 days ago
Sigma-delta learning for super-resolution independent component analysis
— Many source separation algorithms fail to deliver robust performance in presence of artifacts introduced by cross-channel redundancy, non-homogeneous mixing and highdimensional...
Amin Fazel, Shantanu Chakrabartty
IDA
2007
Springer
16 years 2 days ago
Learning to Align: A Statistical Approach
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
Elisa Ricci, Tijl De Bie, Nello Cristianini