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» The structure of intrinsic complexity of learning
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ICPR
2004
IEEE
14 years 8 months ago
A Consistency-Based Model Selection for One-Class Classification
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
David M. J. Tax, Klaus-Robert Müller
DELFI
2006
13 years 9 months ago
Mobile Learning is Coming of Age - What we have and what we still miss
: Mobile learning has left the status of a new born child. It is time now to implement some structure into the complex and various activities by a framework presented in this paper...
Dirk Frohberg
CVPR
2009
IEEE
15 years 2 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...
HPDC
2008
IEEE
14 years 2 months ago
Harmony: an execution model and runtime for heterogeneous many core systems
The emergence of heterogeneous many core architectures presents a unique opportunity for delivering order of magnitude performance increases to high performance applications by ma...
Gregory F. Diamos, Sudhakar Yalamanchili
SMI
2007
IEEE
157views Image Analysis» more  SMI 2007»
14 years 1 months ago
Skeleton-based Hierarchical Shape Segmentation
We present an effective framework for segmenting 3D shapes into meaningful components using the curve skeleton. Our algorithm identifies a number of a critical points on the curv...
Dennie Reniers, Alexandru Telea