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» A Probabilistic Background Model for Tracking
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BMCBI
2007
114views more  BMCBI 2007»
14 years 12 months ago
Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks
Background: Biomolecular networks dynamically respond to stimuli and implement cellular function. Understanding these dynamic changes is the key challenge for cell biologists. As ...
Xiaohua Hu, Fang-Xiang Wu
MA
2010
Springer
104views Communications» more  MA 2010»
14 years 10 months ago
Representations of SO(3) and angular polyspectra
We characterize the angular polyspectra, of arbitrary order, associated with isotropic fields defined on the sphere S2 = (x, y, z) : x2 + y2 + z2 = 1 . Our techniques rely heavi...
D. Marinucci, G. Peccati
BMCBI
2007
167views more  BMCBI 2007»
14 years 11 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk

Publication
353views
15 years 14 days ago
Online Multi-Person Tracking-by-Detection from a Single, Uncalibrated Camera
In this paper, we address the problem of automatically detecting and tracking a variable number of persons in complex scenes using a monocular, potentially moving, uncalibrated ca...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
CVIU
2006
158views more  CVIU 2006»
14 years 11 months ago
Sequential mean field variational analysis of structured deformable shapes
A novel approach is proposed to analyzing and tracking the motion of structured deformable shapes, which consist of multiple correlated deformable subparts. Since this problem is ...
Gang Hua, Ying Wu