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» Clustering for processing rate optimization
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HIS
2004
13 years 9 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
EOR
2006
68views more  EOR 2006»
13 years 8 months ago
Modelling complex assemblies as a queueing network for lead time control
In this paper we develop an open queueing network for optimal design of multi-stage assemblies, in which each service station represents a manufacturing or assembly operation. The...
Amir Azaron, Hideki Katagiri, Kosuke Kato, Masatos...
CLUSTER
2011
IEEE
12 years 8 months ago
Performance Characterization and Optimization of Atomic Operations on AMD GPUs
—Atomic operations are important building blocks in supporting general-purpose computing on graphics processing units (GPUs). For instance, they can be used to coordinate executi...
Marwa Elteir, Heshan Lin, Wu-chun Feng
GLOBECOM
2006
IEEE
14 years 2 months ago
Adaptive Learning of Transmission Control Policies for MIMO Fading Channels under Delay Constraint
— This paper addresses learning based adaptive resource allocation for wireless MIMO channels with Markovian fading. The problem is posed as Constrained Markov Decision Process w...
Dejan V. Djonin, Vikram Krishnamurthy
CSREAESA
2007
13 years 9 months ago
The Effect of Nanometer-Scale Technologies on the Cache Size Selection for Low Energy Embedded Systems
- Several studies have shown that cache memories account for more than 40% of the total energy consumed in processor-based embedded systems. In microscale technology nodes, active ...
Hamid Noori, Maziar Goudarzi, Koji Inoue, Kazuaki ...