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ML
2008
ACM
150views Machine Learning» more  ML 2008»
15 years 2 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
120
Voted
TCSV
2008
175views more  TCSV 2008»
15 years 2 months ago
Expandable Data-Driven Graphical Modeling of Human Actions Based on Salient Postures
This paper presents a graphical model for learning and recognizing human actions. Specifically, we propose to encode actions in a weighted directed graph, referred to as action gra...
Wanqing Li, Zhengyou Zhang, Zicheng Liu
PAMI
2007
97views more  PAMI 2007»
15 years 1 months ago
Statistical Performance Evaluation of Biometric Authentication Systems Using Random Effects Models
As biometric authentication systems become more prevalent, it is becoming increasingly important to evaluate their performance. The current paper introduces a novel statistical me...
Sinjini Mitra, Marios Savvides, Anthony Brockwell
127
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PAMI
2007
155views more  PAMI 2007»
15 years 1 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
SIAMAM
2010
82views more  SIAMAM 2010»
15 years 24 days ago
Wave Propagation in Multicomponent Flow Models
We consider systems of hyperbolic balance laws governing flows of an arbitrary number of components equipped with general equations of state. The components are assumed to be immi...
Tore Flåtten, Alexandre Morin, Svend Tollak ...