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CCR
2010
202views more  CCR 2010»
15 years 27 days ago
Understanding data center traffic characteristics
As data centers become more and more central in Internet communications, both research and operations communities have begun to explore how to better design and manage them. In th...
Theophilus Benson, Ashok Anand, Aditya Akella, Min...
104
Voted
BMCBI
2007
98views more  BMCBI 2007»
15 years 24 days ago
Duration learning for analysis of nanopore ionic current blockades
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties, with potential implications ...
Alexander G. Churbanov, Carl Baribault, Stephen Wi...
TCSV
2008
195views more  TCSV 2008»
15 years 21 days ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
TAICPART
2010
IEEE
126views Education» more  TAICPART 2010»
14 years 11 months ago
Improved Testing through Refactoring: Experience from the ProTest Project
We report on how the Wrangler refactoring tool has been used to improve and transform test code for Erlang systems. This has been achieved through the removal of code clones, the i...
Huiqing Li, Simon J. Thompson
252
Voted

Book
5396views
16 years 11 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li