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» Sparse decomposition of two dimensional signals
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ISCAS
2007
IEEE
179views Hardware» more  ISCAS 2007»
14 years 2 months ago
Analysis for Signal and Power Integrity Using the Multilayered Finite Difference Method
— We present a method for fast analysis of signal and power integrity based on a recently developed multilayered finite difference method (M-FDM). In order to accurately model m...
Ege Engin, Krishna Bharath, Madhavan Swaminathan
ICA
2007
Springer
14 years 2 months ago
Supervised and Semi-supervised Separation of Sounds from Single-Channel Mixtures
In this paper we describe a methodology for model-based single channel separation of sounds. We present a sparse latent variable model that can learn sounds based on their distribu...
Paris Smaragdis, Bhiksha Raj, Madhusudana V. S. Sh...
CORR
2006
Springer
73views Education» more  CORR 2006»
13 years 8 months ago
A Fast and Accurate Nonlinear Spectral Method for Image Recognition and Registration
This article addresses the problem of two- and higher dimensional pattern matching, i.e. the identification of instances of a template within a larger signal space, which is a for...
Luciano da Fontoura Costa, Erik Bollt
BMCBI
2010
144views more  BMCBI 2010»
13 years 8 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
ICDE
2007
IEEE
189views Database» more  ICDE 2007»
14 years 2 months ago
Integration of Motion Capture and EMG data for Classifying the Human Motions
Three dimensional motion capture facility is a powerful tool for quantitative and qualitative assessment of multijoint external movements. Electro-myograph (EMG) signals give the ...
Gaurav N. Pradhan, Navzer D. Engineer, Mihai Nadin...