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118
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PAMI
2008
140views more  PAMI 2008»
15 years 4 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
127
Voted
COMCOM
2004
81views more  COMCOM 2004»
15 years 3 months ago
A performance anomaly in clustered on-line transaction processing systems
This paper presents a simulation study on complex On-Line Transaction Processing systems using TPC-C workload. The impacts on the response time of Inter-Connection Network (ICN) i...
Hong Cai, Hisao Kameda, Jie Li
COMSIS
2004
119views more  COMSIS 2004»
15 years 3 months ago
A Method and a Tool for Rapid Prototyping of Large-Scale Business Information Systems
This paper presents a method and concepts of a supporting tool for rapid prototyping of large-scale business information systems. Our method is based on the following guidelines: (...
Gordana Milosavljevic, Branko Perisic
VLSISP
2002
139views more  VLSISP 2002»
15 years 3 months ago
A Modified Minimum Classification Error (MCE) Training Algorithm for Dimensionality Reduction
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
Xuechuan Wang, Kuldip K. Paliwal
128
Voted
ICRA
2010
IEEE
134views Robotics» more  ICRA 2010»
15 years 2 months ago
Viewpoint detection models for sequential embodied object category recognition
Abstract— This paper proposes a method for learning viewpoint detection models for object categories that facilitate sequential object category recognition and viewpoint planning...
David Meger, Ankur Gupta, James J. Little