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» An Efficient Method for Compressed Sensing
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SIAMIS
2011
13 years 5 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
ICIP
2005
IEEE
15 years 12 days ago
Interleaved S+P pyramidal decomposition with refined prediction model
Scalability and others functionalities such as the Region of Interest encoding become essential properties of an efficient image coding scheme. Within the framework of lossless co...
Joseph Ronsin, Marie Babel, Olivier Déforge...
DDECS
2007
IEEE
201views Hardware» more  DDECS 2007»
14 years 5 months ago
Built in Defect Prognosis for Embedded Memories
: As scan compression replaces the traditional scan it is important to understand how it works with power. DFT MAX represents one of the two primary scan compression solutions used...
Prashant Dubey, Akhil Garg, Sravan Kumar Bhaskaran...
MM
2004
ACM
121views Multimedia» more  MM 2004»
14 years 4 months ago
A framework for robust and scalable audio streaming
We propose a framework to achieve bandwidth efficient, error robust and bitrate scalable audio streaming. Our approach is compatible with most audio compression format. The main c...
Ye Wang, Wendong Huang, Jari Korhonen
EDUTAINMENT
2007
Springer
14 years 2 months ago
View-Dependent Hierarchical Foliage Simplification
High compression of plant geometry is an important aspect in fast realistic visualization of plants. Hierarchical structuring plant morphology is a key factor for real time plant r...
Qingqiong Deng, Xiaopeng Zhang, Marc Jaeger