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» On the complexity of optimization over the standard simplex
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ICMCS
2005
IEEE
119views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Evaluation of the Interleaved Source Coding (ISC) Under Packet Correlation
Network impairments such as delay and packet losses have severe impact on the presentation quality of many predictive video sources. Prior researches (e.g., [1]-[3][5]-[9][11]-[13...
Jin Young Lee, Hayder Radha
CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
15 years 5 months ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu
77
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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
15 years 2 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
AAAI
2006
14 years 11 months ago
Embedding Heterogeneous Data Using Statistical Models
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
Amir Globerson, Gal Chechik, Fernando Pereira, Naf...
NIPS
2004
14 years 11 months ago
Euclidean Embedding of Co-Occurrence Data
Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
Amir Globerson, Gal Chechik, Fernando C. Pereira, ...