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» Techniques for Optimization of Net Algorithms
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270
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FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 7 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
156
Voted
CODES
2006
IEEE
15 years 9 months ago
Data reuse driven energy-aware MPSoC co-synthesis of memory and communication architecture for streaming applications
The memory subsystem of a complex multiprocessor systemson-chip (MPSoC) is an important contributor to the chip power consumption. The selection of memory architecture, as well as...
Ilya Issenin, Nikil Dutt
105
Voted
CVPR
2006
IEEE
16 years 5 months ago
Image Denoising with Shrinkage and Redundant Representations
Shrinkage is a well known and appealing denoising technique. The use of shrinkage is known to be optimal for Gaussian white noise, provided that the sparsity on the signal's ...
Michael Elad, Boaz Matalon, Michael Zibulevsky
ICDE
2003
IEEE
144views Database» more  ICDE 2003»
16 years 5 months ago
Scalable template-based query containment checking for web semantic caches
Semantic caches, originally proposed for client-server database systems, are being recently deployed to accelerate the serving of dynamic web content by transparently caching data...
Khalil Amiri, Sanghyun Park, Renu Tewari, Sriram P...
ICML
2008
IEEE
16 years 4 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin