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ICPR
2002
IEEE
14 years 8 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
RAS
2008
142views more  RAS 2008»
13 years 7 months ago
Motion intention recognition in robot assisted applications
Acquiring, representing and modeling human skills is one of the key research areas in teleoperation, programming-by-demonstration and human-machine collaborative settings. The pro...
Daniel Aarno, Danica Kragic
ICASSP
2011
IEEE
12 years 11 months ago
A study of an irrelevant variability normalization based discriminative training approach for LVCSR
This paper presents a discriminative training (DT) approach to irrelevant variability normalization (IVN) based training of feature transforms and hidden Markov models for large v...
Yu Zhang, Jian Xu, Zhi-Jie Yan, Qiang Huo
NIPS
1996
13 years 8 months ago
Effective Training of a Neural Network Character Classifier for Word Recognition
We have combined an artificial neural network (ANN) character classifier with context-driven search over character segmentation, word segmentation, and word recognition hypotheses...
Larry S. Yaeger, Richard F. Lyon, Brandyn J. Webb
ECCV
2006
Springer
14 years 9 months ago
An Integrated Model for Accurate Shape Alignment
In this paper, we propose a two-level integrated model for accurate face shape alignment. At the low level, the shape is split into a set of line segments which serve as the nodes ...
Lin Liang, Fang Wen, Xiaoou Tang, Ying-Qing Xu