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...
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...
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: (...
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...
Abstract— This paper proposes a method for learning viewpoint detection models for object categories that facilitate sequential object category recognition and viewpoint planning...