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» Reconstructing Boolean Models of Signaling
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TSP
2008
91views more  TSP 2008»
14 years 9 months ago
On Optimal Perfect Reconstruction Feedback Quantizers
Abstract-- This paper presents novel results on Perfect Reconstruction Feedback Quantizers (PRFQs), i.e., noise-shaping, predictive and sigma-delta A/D converters whose signal tran...
Milan S. Derpich, Eduardo I. Silva, Daniel E. Quev...
ICASSP
2011
IEEE
14 years 1 months ago
Investigations into the incorporation of the Ideal Binary Mask in ASR
While much work has been dedicated to exploring how best to incorporate the Ideal Binary Mask (IBM) in automatic speech recognition (ASR) for noisy signals, we demonstrate that th...
William Hartmann, Eric Fosler-Lussier
62
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MICCAI
2009
Springer
15 years 10 months ago
Multiple Q-Shell ODF Reconstruction in Q-Ball Imaging
Q-ball imaging (QBI) is a high angular resolution diffusion imaging (HARDI) technique which has been proven very successful in resolving multiple intravoxel fiber orientations in M...
Iman Aganj, Christophe Lenglet, Guillermo Sapiro...
ICASSP
2011
IEEE
14 years 1 months ago
Uncover cooperative gene regulations by microRNAs and transcription factors in glioblastoma using a nonnegative hybrid factor mo
—Transcriptional regulation by transcription factors (TFs) and microRNAs controls when and how much RNA is created. Due to technical limitations, the protein level expressions of...
Jia Meng, Hung-I Harry Chen, Jianqiu Zhang, Yidong...
CORR
2010
Springer
95views Education» more  CORR 2010»
14 years 9 months ago
Statistical Compressive Sensing of Gaussian Mixture Models
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
Guoshen Yu, Guillermo Sapiro