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» Learning nonlinear dynamic models
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ITCC
2005
IEEE
15 years 6 months ago
A Scalable Generative Topographic Mapping for Sparse Data Sequences
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
Ata Kabán
116
Voted
IPPS
2003
IEEE
15 years 6 months ago
MIP Formulation for Robust Resource Allocation in Dynamic Real-Time Systems
Real-time systems usually operate in an environment that changes continuously. These changes cause the performance of the system to vary during run time. An allocation of resource...
Sethavidh Gertphol, Viktor K. Prasanna
98
Voted
NIPS
2001
15 years 2 months ago
Dynamic Time-Alignment Kernel in Support Vector Machine
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is developed by incorporating an idea of non-linear tim...
Hiroshi Shimodaira, K.-I. Noma, Mitsuru Nakai, Shi...
ICMCS
2005
IEEE
110views Multimedia» more  ICMCS 2005»
15 years 6 months ago
Learned color constancy from local correspondences
The ability of humans for color constancy, i.e. the ability to correct for color deviation caused by a different illumination, is far beyond computer vision performances: nowadays...
Tijmen Moerland, Frédéric Jurie
103
Voted
IJON
1998
87views more  IJON 1998»
15 years 14 days ago
Learned parametric mixture based ICA algorithm
The learned parametric mixture method is presented for a canonical cost function based ICA model on linear mixture, with several new findings. First, its adaptive algorithm is fu...
Lei Xu, Chi Chiu Cheung, Shun-ichi Amari