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» Learning Isometric Separation Maps
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ESANN
2003
14 years 11 months ago
Cellular topographic self-organization under correlational learning
We consider two layered binary state neural networks in which cellular topographic self-organization occurs under correlational learning. The main result is that for separable inpu...
Shouji Sakamoto, Shigeko Seki, Youichi Kobuchi
WECWIS
2002
IEEE
112views ECommerce» more  WECWIS 2002»
15 years 3 months ago
Separating Business Process from User Interaction Utilizing Process-Aware XSLT Style-Sheets
In the web context, it is difficult to disentangle presentation from process logic, and sometimes even data is not separate from the presentation. Consequently, it becomes to de...
Karl Aberer, Anwitaman Datta, Zoran Despotovic
ICASSP
2011
IEEE
14 years 1 months ago
An acoustically-motivated spatial prior for under-determined reverberant source separation
We consider the task of under-determined reverberant audio source separation. We model the contribution of each source to all mixture channels in the time-frequency domain as a ze...
Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gr...
121
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TSMC
2010
14 years 4 months ago
Distance Approximating Dimension Reduction of Riemannian Manifolds
We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...
Changyou Chen, Junping Zhang, Rudolf Fleischer
CVPR
2011
IEEE
14 years 5 months ago
Intrinsic Dense 3D Surface Tracking
This paper presents a novel intrinsic 3D surface distance and its use in a complete probabilistic tracking framework for dynamic 3D data. Registering two frames of a deforming 3D ...
Yun Zeng, Chaohui Wang, Yang Wang, David Gu, Dimit...