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ICA
2004
Springer
15 years 7 months ago
Non-linear ICA by Using Isometric Dimensionality Reduction
In usual ICA methods, sources are typically estimated by maximizing a measure of their statistical independence. This paper explains how to perform non-linear ICA by preprocessing ...
John Aldo Lee, Christian Jutten, Michel Verleysen
109
Voted
ISQED
2007
IEEE
123views Hardware» more  ISQED 2007»
15 years 8 months ago
General Block Structure-Preserving Reduced Order Modeling of Linear Dynamic Circuits
In this paper, we propose a generalized block structure-preserving reduced order interconnect macromodeling method (BSPRIM). Our approach extends structure-preserving model order ...
Ning Mi, Boyuan Yan, Sheldon X.-D. Tan, Jeffrey Fa...
115
Voted
DAGM
1998
Springer
15 years 6 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
116
Voted
PAMI
2006
178views more  PAMI 2006»
15 years 1 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek
MMM
2011
Springer
244views Multimedia» more  MMM 2011»
14 years 5 months ago
Generating Representative Views of Landmarks via Scenic Theme Detection
Visual summarization of landmarks is an interesting and non-trivial task with the availability of gigantic community-contributed resources. In this work, we investigate ways to gen...
Yi-Liang Zhao, Yan-Tao Zheng, Xiangdong Zhou, Tat-...