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ICIP
2005
IEEE
14 years 2 months ago
Silhouette-based probabilistic 2D human motion estimation for real-time applications
This paper presents a novel technique for 2D human motion estimation using a single non calibrated camera. The user’s five crucial human features (head, hands and feet) are ext...
Pedro Correa, Jacek Czyz, Toshiyuki Umeda, Ferran ...
UAI
1998
13 years 10 months ago
Large Deviation Methods for Approximate Probabilistic Inference
We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...
Michael J. Kearns, Lawrence K. Saul
ECIR
2009
Springer
14 years 5 months ago
A Probabilistic Retrieval Model for Semistructured Data
Abstract. Retrieving semistructured (XML) data typically requires either a structured query such as XPath, or a keyword query that does not take structure into account. In this pap...
Jinyoung Kim, Xiaobing Xue, W. Bruce Croft
ICTAI
2009
IEEE
14 years 3 months ago
Probabilistic Neural Logic Network Learning: Taking Cues from Neuro-Cognitive Processes
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
Henry Wai Kit Chia, Chew Lim Tan, Sam Yuan Sung
ICARCV
2006
IEEE
96views Robotics» more  ICARCV 2006»
14 years 2 months ago
Probabilistic Integration of 2D and 3D Cues for Visual Servoing
— In this paper we present a new integration method for improving the performance of visual servoing. The method integrates image-based visual servoing (IBVS) and positionbased v...
A. H. Abdul Hafez, C. V. Jawahar