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» A Database Approach to Distributed State Space Generation
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ICCV
2007
IEEE
15 years 4 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
SISAP
2009
IEEE
122views Data Mining» more  SISAP 2009»
15 years 4 months ago
Dynamic Spatial Approximation Trees for Massive Data
—Metric space searching is an emerging technique to address the problem of efficient similarity searching in many applications, including multimedia databases and other reposito...
Gonzalo Navarro, Nora Reyes
AUSDM
2006
Springer
85views Data Mining» more  AUSDM 2006»
15 years 1 months ago
A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses
The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models ar...
Faten Khalil, Jiuyong Li, Hua Wang
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
15 years 10 months ago
A data mining approach to modeling relationships among categories in image collection
This paper proposes a data mining approach to modeling relationships among categories in image collection. In our approach, with image feature grouping, a visual dictionary is cre...
Ruofei Zhang, Zhongfei (Mark) Zhang, Sandeep Khanz...
ICCV
2005
IEEE
15 years 11 months ago
Real-Time Interactively Distributed Multi-Object Tracking Using a Magnetic-Inertia Potential Model
This paper breaks with the common practice of using a joint state space representation and performing the joint data association in multi-object tracking. Instead, we present an i...
Dan Schonfeld, Magdi A. Mohamed, Wei Qu