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» Training Methods for Adaptive Boosting of Neural Networks
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2010
13 years 11 months ago
Discovery of Application Workloads from Network File Traces
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level he...
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. ...
ASPDAC
2000
ACM
154views Hardware» more  ASPDAC 2000»
14 years 27 days ago
Dynamic weighting Monte Carlo for constrained floorplan designs in mixed signal application
Simulated annealing has been one of the most popular stochastic optimization methods used in the VLSI CAD field in the past two decades for handling NP-hard optimization problems...
Jason Cong, Tianming Kong, Faming Liang, Jun S. Li...
PR
2007
151views more  PR 2007»
13 years 8 months ago
Learning to display high dynamic range images
In this paper, we present a learning-based image processing technique. We have developed a novel method to map high dynamic range scenes to low dynamic range images for display in...
Guoping Qiu, Jiang Duan, Graham D. Finlayson
BMCBI
2004
88views more  BMCBI 2004»
13 years 8 months ago
Coronavirus 3CLpro proteinase cleavage sites: Possible relevance to SARS virus pathology
Background: Despite the passing of more than a year since the first outbreak of Severe Acute Respiratory Syndrome (SARS), efficient counter-measures are still few and many believe...
Lars Kiemer, Ole Lund, Søren Brunak, Nikola...
BMCBI
2011
13 years 3 months ago
NClassG+: A classifier for non-classically secreted Gram-positive bacterial proteins
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...
Daniel Restrepo-Montoya, Camilo Pino, Luis F. Ni&n...