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87
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CVPR
2009
IEEE
15 years 2 months ago
Learning to associate: HybridBoosted multi-target tracker for crowded scene
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
Yuan Li, Chang Huang, Ram Nevatia
79
Voted
ICPR
2008
IEEE
15 years 11 months ago
Segmentation by combining parametric optical flow with a color model
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Adrian Ulges, Thomas M. Breuel
SCVMA
2004
Springer
15 years 3 months ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
70
Voted
BMCBI
2005
92views more  BMCBI 2005»
14 years 10 months ago
A restraint molecular dynamics and simulated annealing approach for protein homology modeling utilizing mean angles
Background: We have developed the program PERMOL for semi-automated homology modeling of proteins. It is based on restrained molecular dynamics using a simulated annealing protoco...
Andreas Möglich, Daniel Weinfurtner, Till Mau...
88
Voted
BMCBI
2010
201views more  BMCBI 2010»
14 years 10 months ago
Analysis of X-ray Structures of Matrix Metalloproteinases via Chaotic Map Clustering
Background: Matrix metalloproteinases (MMPs) are well-known biological targets implicated in tumour progression, homeostatic regulation, innate immunity, impaired delivery of pro-...
Ilenia Giangreco, Orazio Nicolotti, Angelo Carotti...