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TIP
2008
89views more  TIP 2008»
14 years 11 months ago
Optimal Denoising in Redundant Representations
Abstract--Image denoising methods are often designed to minimize mean-squared error (MSE) within the subbands of a multiscale decomposition. However, most high-quality denoising re...
Martin Raphan, Eero P. Simoncelli
ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
14 years 9 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
TASLP
2010
117views more  TASLP 2010»
14 years 6 months ago
Speech Enhancement Using Gaussian Scale Mixture Models
This paper presents a novel probabilistic approach to speech enhancement. Instead of a deterministic logarithmic relationship, we assume a probabilistic relationship between the fr...
Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski
PODS
2012
ACM
240views Database» more  PODS 2012»
13 years 2 months ago
Approximate computation and implicit regularization for very large-scale data analysis
Database theory and database practice are typically the domain of computer scientists who adopt what may be termed an algorithmic perspective on their data. This perspective is ve...
Michael W. Mahoney
DAC
1999
ACM
16 years 21 days ago
A Novel VLSI Layout Fabric for Deep Sub-Micron Applications
We propose a new VLSI layout methodology which addresses the main problems faced in Deep Sub-Micron (DSM) integrated circuit design. Our layout "fabric" scheme eliminate...
Sunil P. Khatri, Amit Mehrotra, Robert K. Brayton,...