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ACCV
2010
Springer
13 years 3 months ago
Learning Rare Behaviours
Abstract. We present a novel approach to detect and classify rare behaviours which are visually subtle and occur sparsely in the presence of overwhelming typical behaviours. We tre...
Jian Li, Timothy M. Hospedales, Shaogang Gong, Tao...
ICCV
2007
IEEE
14 years 10 months ago
Embedded Profile Hidden Markov Models for Shape Analysis
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
MICCAI
2007
Springer
14 years 9 months ago
Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...
ECEASST
2008
69views more  ECEASST 2008»
13 years 8 months ago
Verifying Model Transformations by Structural Correspondence
: Model transformations play a significant role in model based software development, and the correctness of the transformation is crucial to the success of the development effort. ...
Anantha Narayanan, Gabor Karsai
ASM
2010
ASM
14 years 2 months ago
A Basis for Feature-Oriented Modelling in Event-B
Abstract. Feature-oriented modelling is a well-known approach for Software Product Line (SPL) development. It is a widely used method when developing groups of related software. Wi...
Jennifer Sorge, Michael Poppleton, Michael Butler