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» A Computational Framework for Handling Motion
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SCA
2007
13 years 11 months ago
Hybrid simulation of deformable solids
Although mesh-based methods are efficient for simulating simple hyperelasticity, maintaining and adapting a mesh-based representation is less appealing in more complex scenarios, ...
Eftychios Sifakis, Tamar Shinar, Geoffrey Irving, ...
ACCV
2006
Springer
14 years 3 months ago
A Multiscale Co-linearity Statistic Based Approach to Robust Background Modeling
Background subtraction is an essential task in several static camera based computer vision systems. Background modeling is often challenged by spatio-temporal changes occurring due...
Prithwijit Guha, Dibyendu Palai, K. S. Venkatesh, ...
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
14 years 6 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...
EMSOFT
2004
Springer
14 years 2 months ago
Heterogeneous reactive systems modeling: capturing causality and the correctness of loosely time-triggered architectures (LTTA)
We present an extension of a mathematical framework proposed by the authors to deal with the composition of heterogeneous reactive systems. Our extended framework encompasses dive...
Albert Benveniste, Benoît Caillaud, Luca P. ...
CVPR
2005
IEEE
14 years 11 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002