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113
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IEAAIE
2010
Springer
15 years 17 days ago
Down-Up-Down Behavior Generation for Interactive Robots
Behavior generation in humans and animals usually employs a combination of bottom-up and top-down patterns. Most available robotic architectures utilize either bottom-up or top-dow...
Yasser F. O. Mohammad, Toyoaki Nishida
126
Voted
CVPR
2005
IEEE
16 years 4 months ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
114
Voted
CORR
1998
Springer
96views Education» more  CORR 1998»
15 years 2 months ago
Similarity-Based Models of Word Cooccurrence Probabilities
Abstract. In many applications of natural language processing (NLP) it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may ne...
Ido Dagan, Lillian Lee, Fernando C. N. Pereira
106
Voted
ICPR
2006
IEEE
16 years 3 months ago
Optimal Estimation of Perspective Camera Pose
In this paper we propose a practical and efficient method for finding the globally optimal solution to the problem of camera pose estimation for calibrated cameras. While traditio...
Carl Olsson, Fredrik Kahl, Magnus Oskarsson
86
Voted
ICPR
2004
IEEE
16 years 3 months ago
A Trainable Low-level Feature Detector
We introduce a trainable system that simultaneously filters and classifies low-level features into types specified by the user. The system operates over full colour images, and ou...
John P. Collomosse, Martin Owen, Peter M. Hall