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» Hierarchical Model-Based Motion Estimation
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CVPR
2004
IEEE
14 years 9 months ago
Multi-Scale Visual Tracking by Sequential Belief Propagation
A novel statistical method is proposed in this paper to overcome abrupt motion for robust visual tracking. Existing tracking methods that are based on the small motion assumption ...
Gang Hua, Ying Wu
TASLP
2010
97views more  TASLP 2010»
13 years 2 months ago
Hierarchical Bayesian Language Models for Conversational Speech Recognition
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
Songfang Huang, Steve Renals
ISLPED
1997
ACM
95views Hardware» more  ISLPED 1997»
13 years 12 months ago
Formalized methodology for data reuse exploration in hierarchical memory mappings
Efficient use of an optimized memory hierarchy to exploit temporal locality in the memory accesses on array signals can have a very large impact on the power consumption in data ...
Jean-Philippe Diguet, Sven Wuytack, Francky Cattho...
ICAPR
2005
Springer
14 years 1 months ago
Hierarchical Clustering of Dynamical Systems Based on Eigenvalue Constraints
Abstract. This paper addresses the clustering problem of hidden dynamical systems behind observed multivariate sequences by assuming an interval-based temporal structure in the seq...
Hiroaki Kawashima, Takashi Matsuyama
PG
2003
IEEE
14 years 1 months ago
Physical Touch-Up of Human Motions
Many popular motion editing methods do not take physical principles into account potentially producing implausible motions. This paper introduces an efficient method for touching...
Hyun Joon Shin, Lucas Kovar, Michael Gleicher