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» Model Driven Testing Based on Test History
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139
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ACCV
2006
Springer
15 years 9 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, ...
139
Voted
BMCBI
2006
86views more  BMCBI 2006»
15 years 3 months ago
MCALIGN2: Faster, accurate global pairwise alignment of non-coding DNA sequences based on explicit models of indel evolution
Background: Non-coding DNA sequences comprise a very large proportion of the total genomic content of mammals, most other vertebrates, many invertebrates, and most plants. Unravel...
Jun Wang, Peter D. Keightley, Toby Johnson
128
Voted
MICCAI
2008
Springer
16 years 4 months ago
LV Motion and Strain Computation from tMRI Based on Meshless Deformable Models
Tagged Magnetic Resonance Imaging (tMRI) is a non-invasive way of tracking the in-vivo myocardial motion during cardiac cycles. Tags are material points which deform along the myo...
Xiaoxu Wang, Ting Chen, Shaoting Zhang, Dimitri...
220
Voted
ICARIS
2010
Springer
15 years 4 months ago
Biomedical Article Classification Using an Agent-Based Model of T-Cell Cross-Regulation
Abstract. We propose a novel bio-inspired solution for biomedical article classification. Our method draws from an existing model of T-cell cross-regulation in the vertebrate immun...
Alaa Abi-Haidar, Luis Mateus Rocha
152
Voted
ECCV
2006
Springer
16 years 5 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher