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» Power and performance optimization at the system level
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HICSS
2003
IEEE
122views Biometrics» more  HICSS 2003»
15 years 10 months ago
Managing Quality Uncertainty Through Contingency Pricing
We analyze quality-contingent prices as a mechanism for mitigating the effects of quality uncertainty in e-commerce and IT goods services. A contingency pricing contract specifie...
Hemant K. Bhargava, Shankar Sundaresan
JRTIP
2010
137views more  JRTIP 2010»
14 years 11 months ago
Cascaded online boosting
In this paper, we propose a cascaded version of the online boosting algorithm to speed-up the execution time and guarantee real-time performance even when employing a large number ...
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti
ECCV
2008
Springer
16 years 6 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele
ISCAS
2005
IEEE
133views Hardware» more  ISCAS 2005»
15 years 10 months ago
Multiobjective VLSI cell placement using distributed simulated evolution algorithm
— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...
Sadiq M. Sait, Ali Mustafa Zaidi, Mustafa I. Ali
139
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ISCA
2010
IEEE
232views Hardware» more  ISCA 2010»
15 years 3 months ago
Evolution of thread-level parallelism in desktop applications
As the effective limits of frequency and instruction level parallelism have been reached, the strategy of microprocessor vendors has changed to increase the number of processing ...
Geoffrey Blake, Ronald G. Dreslinski, Trevor N. Mu...