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» Input Modeling Using Quantile Statistical Methods
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143
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TIP
2008
107views more  TIP 2008»
15 years 2 months ago
Sampling-Based Correlation Estimation for Distributed Source Coding Under Rate and Complexity Constraints
In many practical distributed source coding (DSC) applications, correlation information has to be estimated at the encoder in order to determine the encoding rate. Coding efficien...
Ngai-Man Cheung, Huisheng Wang, Antonio Ortega
CSL
2008
Springer
15 years 2 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos
133
Voted
TVCG
2012
191views Hardware» more  TVCG 2012»
13 years 5 months ago
Live Speech Driven Head-and-Eye Motion Generators
—This paper describes a fully automated framework to generate realistic head motion, eye gaze, and eyelid motion simultaneously based on live (or recorded) speech input. Its cent...
Binh Huy Le, Xiaohan Ma, Zhigang Deng
134
Voted
ISBI
2007
IEEE
15 years 9 months ago
Registration of Ultrasound Images Using an Information-Theoretic Feature Detector
In this paper, we present a new method for ultrasound image registration. For each image to be registered, our method first applies an ultrasound-specific information-theoretic ...
Zhe Wang, Gregory G. Slabaugh, Gozde B. Unal, Tong...
135
Voted
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
15 years 6 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith