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» Extraction of Components with Structured Variance
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NIPS
2000
13 years 6 months ago
Position Variance, Recurrence and Perceptual Learning
Stimulus arrays are inevitably presented at different positions on the retina in visual tasks, even those that nominally require fixation. In particular, this applies to many perc...
Zhaoping Li, Peter Dayan
ICA
2007
Springer
13 years 11 months ago
Mutual Interdependence Analysis (MIA)
Functional Data Analysis (FDA) is used for datasets that are more meaningfully represented in the functional form. Functional principal component analysis, for instance, is used to...
Heiko Claussen, Justinian Rosca, Robert I. Damper
ICIP
2008
IEEE
13 years 11 months ago
Understanding and simplifying the structural similarity metric
The structural similarity (SSIM) metric and its multi-scale extension (MS-SSIM) evaluate visual quality with a modied local measure of spatial correlation consisting of three c...
David M. Rouse, Sheila S. Hemami
DATE
2004
IEEE
80views Hardware» more  DATE 2004»
13 years 9 months ago
Random Jitter Extraction Technique in a Multi-Gigahertz Signal
In this paper, we propose a simple technique for estimating the standard deviation of a Gaussian random jitter component in a multi-gigahertz signal. This method may utilize exist...
Chee-Kian Ong, Dongwoo Hong, Kwang-Ting Cheng, Li-...
JCP
2007
100views more  JCP 2007»
13 years 5 months ago
Extraction of Unique Independent Components for Nonlinear Mixture of Sources
—In this paper, a neural network solution to extract independent components from nonlinearly mixed signals is proposed. Firstly, a structurally constrained mixing model is introd...
Pei Gao, Li Chin Khor, Wai Lok Woo, Satnam Singh D...