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ICCV
2003
IEEE
14 years 10 months ago
Background Modeling and Subtraction of Dynamic Scenes
Background modeling and subtraction is a core component in motion analysis. The central idea behind such module is to create a probabilistic representation of the static scene tha...
Antoine Monnet, Anurag Mittal, Nikos Paragios, Vis...
IROS
2007
IEEE
95views Robotics» more  IROS 2007»
14 years 2 months ago
Modeling affordances using Bayesian networks
— Affordances represent the behavior of objects in terms of the robot’s motor and perceptual skills. This type of knowledge plays a crucial role in developmental robotic system...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
WWW
2010
ACM
14 years 3 months ago
Exploring searcher interactions for distinguishing types of commercial intent
An improved understanding of the relationship between search intent, result quality, and searcher behavior is crucial for improving the effectiveness of web search. While recent p...
Qi Guo, Eugene Agichtein
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
14 years 1 months ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
TOG
2008
97views more  TOG 2008»
13 years 8 months ago
Reusable skinning templates using cage-based deformations
Character skinning determines how the shape of the surface geometry changes as a function of the pose of the underlying skeleton. In this paper we describe skinning templates, whi...
Tao Ju, Qian-Yi Zhou, Michiel van de Panne, Daniel...