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» On Iterative Regularization and Its Application
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CORR
2010
Springer
103views Education» more  CORR 2010»
14 years 12 months ago
On the Finite Time Convergence of Cyclic Coordinate Descent Methods
Cyclic coordinate descent is a classic optimization method that has witnessed a resurgence of interest in machine learning. Reasons for this include its simplicity, speed and stab...
Ankan Saha, Ambuj Tewari
DKE
2007
130views more  DKE 2007»
14 years 11 months ago
Enabling access-privacy for random walk based data analysis applications
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
Ping Lin, K. Selçuk Candan
CDC
2009
IEEE
15 years 4 months ago
Synthesis of positive-real functions with low-complexity series-parallel networks
— The purpose of this paper is to continue to develop the recently introduced concept of a regular positivereal function and its application to the classification of lowcomplexi...
Jason Zheng Jiang, Malcolm C. Smith
DAC
2005
ACM
16 years 24 days ago
Fine-grained application source code profiling for ASIP design
Current Application Specific Instruction set Processor (ASIP) design methodologies are mostly based on iterative architecture exploration that uses Architecture Description Langua...
Kingshuk Karuri, Mohammad Abdullah Al Faruque, Ste...
CN
2006
74views more  CN 2006»
14 years 12 months ago
OMNI: An efficient overlay multicast infrastructure for real-time applications
We consider an overlay architecture (called OMNI) where service providers deploy a set of service nodes (called MSNs) in the network to efficiently implement media-streaming appli...
Suman Banerjee, Christopher Kommareddy, Koushik Ka...