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» Expectation Maximization and Posterior Constraints
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SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
13 years 6 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
DT
2006
180views more  DT 2006»
13 years 5 months ago
A SystemC Refinement Methodology for Embedded Software
process: Designers must define higher abstraction levels that allow system modeling. They must use description languages that handle both hardware and software components to descri...
Jérôme Chevalier, Maxime de Nanclas, ...
BMCBI
2007
164views more  BMCBI 2007»
13 years 5 months ago
SEARCHPATTOOL: a new method for mining the most specific frequent patterns for binding sites with application to prokaryotic DNA
Background: Computational methods to predict transcription factor binding sites (TFBS) based on exhaustive algorithms are guaranteed to find the best patterns but are often limite...
Fathi Elloumi, Martha Nason
TIP
2008
287views more  TIP 2008»
13 years 5 months ago
3-D Object Recognition Using 2-D Views
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
Wenjing Li, George Bebis, Nikolaos G. Bourbakis
CRV
2011
IEEE
352views Robotics» more  CRV 2011»
12 years 5 months ago
Conformative Filter: A Probabilistic Framework for Localization in Reduced Space
— Algorithmic problem reduction is a fundamental approach to problem solving in many fields, including robotics. To solve a problem using this scheme, we must reduce the problem...
Chatavut Viriyasuthee, Gregory Dudek