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CVPR
2009
IEEE
15 years 3 months ago
Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models
Extremely crowded scenes present unique challenges to video analysis that cannot be addressed with conventional approaches. We present a novel statistical framework for modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...
WSCG
2000
107views more  WSCG 2000»
13 years 10 months ago
Faster ASV Decomposition for Orthogonal Polyhedra, Using the Extreme Vertices Model (EVM)
The alternating sum of volumes (ASV) decomposition is a widely used technique for converting a b-rep into a CSG model, with all its implicit uses and advantages -like form feature...
Antonio Aguilera, Dolors Ayala
IJAR
2010
105views more  IJAR 2010»
13 years 5 months ago
A tree augmented classifier based on Extreme Imprecise Dirichlet Model
In this paper we present TANC, i.e., a tree-augmented naive credal classifier based on imprecise probabilities; it models prior near-ignorance via the Extreme Imprecise Dirichlet ...
G. Corani, C. P. de Campos
ICANN
2009
Springer
14 years 3 months ago
Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction
Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutil...
ESCIENCE
2006
IEEE
14 years 2 months ago
An Extended Extremal Optimisation Model for Parallel Architectures
: A relatively new meta-heuristic, known as extremal optimisation (EO), is based on the evolutionary science notion that poorly performing genes of an individual are replaced by ra...
Marcus Randall, Andrew Lewis