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» Boosting with structural sparsity
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DCC
2010
IEEE
14 years 3 months ago
Block Compressed Sensing of Images Using Directional Transforms
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
Sungkwang Mun, James E. Fowler
CVPR
2006
IEEE
14 years 10 months ago
Image-Based Multiclass Boosting and Echocardiographic View Classification
We tackle the problem of automatically classifying cardiac view for an echocardiographic sequence as a multiclass object detection. As a solution, we present an imagebased multicl...
Shaohua Kevin Zhou, J. H. Park, Bogdan Georgescu, ...
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
13 years 6 months ago
A graph-theoretic approach to distributed control over networks
We consider a network of control systems connected over a graph. Considering the graph structure as constraints on the set of permissible controllers, we show that such systems ar...
John Swigart, Sanjay Lall
ICASSP
2011
IEEE
12 years 12 months ago
Image compression using the Iteration-Tuned and Aligned Dictionary
We present a new, block-based image codec based on sparse representations using a learned, structured dictionary called the IterationTuned and Aligned Dictionary (ITAD). The quest...
Joaquin Zepeda, Christine Guillemot, Ewa Kijak
TVLSI
2010
13 years 2 months ago
Fast Analysis of a Large-Scale Inductive Interconnect by Block-Structure-Preserved Macromodeling
To efficiently analyze the large-scale interconnect dominant circuits with inductive couplings (mutual inductances), this paper introduces a new state matrix, called VNA, to stamp ...
Hao Yu, Chunta Chu, Yiyu Shi, David Smart, Lei He,...