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ROMAN
2007
IEEE
181views Robotics» more  ROMAN 2007»
15 years 5 months ago
Efficient Articulated Model Fitting on a Single Image or a Sequence
Abstract—Models that can efficiently, compactly, and semantically represent potential users are important tools for human-robot interaction applications. We model a person as a p...
Matheen Siddiqui, Gérard G. Medioni
113
Voted
UAI
2003
15 years 29 days ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén
JCNS
2010
138views more  JCNS 2010»
14 years 6 months ago
Experimental validation of the influence of white matter anisotropy on the intracranial EEG forward solution
Abstract Forward solutions with different levels of complexity are employed for localization of current generators, which are responsible for the electric and magnetic fields measu...
Nitin B. Bangera, Donald L. Schomer, Nima Dehghani...
ICDCS
2009
IEEE
15 years 8 months ago
Modeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems
With the growing complexity in computer systems, it has been a real challenge to detect and diagnose problems in today’s large-scale distributed systems. Usually, the correlatio...
Jing Gao, Guofei Jiang, Haifeng Chen, Jiawei Han
SETN
2004
Springer
15 years 5 months ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas