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» A Comparative Evaluation of Term Recognition Algorithms
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MOBISYS
2010
ACM
15 years 9 months ago
Darwin phones: the evolution of sensing and inference on mobile phones
We present Darwin, an enabling technology for mobile phone sensing that combines collaborative sensing and classification techniques to reason about human behavior and context on ...
Emiliano Miluzzo, Cory Cornelius, Ashwin Ramaswamy...
CVPR
2006
IEEE
16 years 8 months ago
Learning Semantic Patterns with Discriminant Localized Binary Projections
In this paper, we present a novel approach to learning semantic localized patterns with binary projections in a supervised manner. The pursuit of these binary projections is refor...
Shuicheng Yan, Tianqiang Yuan, Xiaoou Tang
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 7 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
IMC
2006
ACM
16 years 23 days ago
Shared-state sampling
We present an algorithm, Shared-State Sampling (S3 ), for the problem of detecting large flows in high-speed networks. While devised with different principles in mind, S3 turns ...
Frederic Raspall, Sebastià Sallent, Josep Y...
ISPD
2006
ACM
126views Hardware» more  ISPD 2006»
16 years 23 days ago
Noise driven in-package decoupling capacitor optimization for power integrity
The existing decoupling capacitance optimization approaches meet constraints on input impedance for package. In this paper, we show that using impedance as constraints leads to la...
Jun Chen, Lei He