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IJCV
2000
164views more  IJCV 2000»
15 years 6 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
DMIN
2006
134views Data Mining» more  DMIN 2006»
15 years 7 months ago
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Iryna Skrypnyk, Tin Kam Ho
SAMOS
2004
Springer
15 years 11 months ago
Modeling Instruction Semantics in ADL Processor Descriptions for C Compiler Retargeting
Today’s Application Specific Instruction-set Processor (ASIP) design methodology often employs centralized Architecture Description Language (ADL) processor models, from which s...
Jianjiang Ceng, Weihua Sheng, Manuel Hohenauer, Ra...
159
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AISC
2008
Springer
15 years 8 months ago
Case Studies in Model Manipulation for Scientific Computing
Abstract. The same methodology is used to develop 3 different applications. We begin by using a very expressive, appropriate Domain Specific Language, to write down precise problem...
Jacques Carette, Spencer Smith, John McCutchan, Ch...
CAIP
2007
Springer
152views Image Analysis» more  CAIP 2007»
16 years 10 days ago
Adaptable Model-Based Tracking Using Analysis-by-Synthesis Techniques
Abstract. In this paper we present a novel analysis-by-synthesis approach for real-time camera tracking in industrial scenarios. The camera pose estimation is based on the tracking...
Harald Wuest, Folker Wientapper, Didier Stricker