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» Adaptive Test Design with a Naive Bayes Framework
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WWW
2011
ACM
13 years 2 months ago
Counting triangles and the curse of the last reducer
The clustering coefficient of a node in a social network is a fundamental measure that quantifies how tightly-knit the community is around the node. Its computation can be reduce...
Siddharth Suri, Sergei Vassilvitskii
AMTA
2004
Springer
14 years 28 days ago
Multi-align: Combining Linguistic and Statistical Techniques to Improve Alignments for Adaptable MT
Abstract. An adaptable statistical or hybrid MT system relies heavily on the quality of word-level alignments of real-world data. Statistical alignment approaches provide a reasona...
Necip Fazil Ayan, Bonnie J. Dorr, Nizar Habash
CVPR
2008
IEEE
14 years 9 months ago
Taylor expansion based classifier adaptation: Application to person detection
Because of the large variation across different environments, a generic classifier trained on extensive data-sets may perform sub-optimally in a particular test environment. In th...
Cha Zhang, Raffay Hamid, Zhengyou Zhang
CVPR
2012
IEEE
11 years 10 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
DATE
2007
IEEE
55views Hardware» more  DATE 2007»
14 years 1 months ago
Sensitivity analysis for fault-analysis and tolerance in RF front-end circuitry
RFIC reliability is fast becoming a major bottleneck in the yield and performance of modern IC systems, as process complexity and levels of integration continually increase. Due t...
Tejasvi Das, P. R. Mukund