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IJCV
2007
146views more  IJCV 2007»
15 years 2 months ago
Statistical Multi-Object Shape Models
The shape of a population of geometric entities is characterized by both the common geometry of the population and the variability among instances. In the deformable model approach...
Conglin Lu, Stephen M. Pizer, Sarang C. Joshi, Ja-...
DATE
2003
IEEE
120views Hardware» more  DATE 2003»
15 years 8 months ago
Delay Defect Diagnosis Based Upon Statistical Timing Models - The First Step
Abstract — This paper defines a new diagnosis problem for diagnosing delay defects based upon statistical timing models. We illustrate the differences between the delay defect d...
Angela Krstic, Li-C. Wang, Kwang-Ting Cheng, Jing-...
NIPS
1997
15 years 4 months ago
A Non-Parametric Multi-Scale Statistical Model for Natural Images
The observed distribution of natural images is far from uniform. On the contrary, real images have complex and important structure that can be exploited for image processing, reco...
Jeremy S. De Bonet, Paul A. Viola
ICICS
2009
Springer
15 years 9 months ago
Assessing Security Risk to a Network Using a Statistical Model of Attacker Community Competence
We propose a novel approach for statistical risk modeling of network attacks that lets an operator perform risk analysis using a data model and an impact model on top of an attack ...
Tomas Olsson
JMLR
2010
191views more  JMLR 2010»
14 years 9 months ago
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
Michael Gutmann, Aapo Hyvärinen