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» A Method for Dynamic Clustering of Data
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IDA
2002
Springer
15 years 6 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
ECCV
2004
Springer
16 years 8 months ago
Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models
Abstract. The exploitation of video data requires to extract information at a rather semantic level, and then, methods able to infer "concepts" from low-level video featu...
Gwenaëlle Piriou, Jian-Feng Yao, Patrick Bout...
MICCAI
2008
Springer
16 years 8 months ago
Dynamic Model-Driven Quantitative and Visual Evaluation of the Aortic Valve from 4D CT
Aortic valve disease is an important cardio-vascular disorder, which affects 2.5% of the global population and often requires elaborate clinical management. Experts agree that visu...
Razvan Ioan Ionasec, Bogdan Georgescu, Eva Gassn...
ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
16 years 1 months ago
Learning of moving cast shadows for dynamic environments
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Ajay J. Joshi, Nikolaos Papanikolopoulos
ICARCV
2006
IEEE
132views Robotics» more  ICARCV 2006»
16 years 24 days ago
Dynamic Environment Modeling with Gridmap: A Multiple-Object Tracking Application
— The Bayesian occupancy filter (BOF) [1] has achieved promising results in the object tracking applications. This paper presents a new development of BOF which inherits origina...
Cheng Chen, Christopher Tay, Christian Laugier, Ka...