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» A Probabilistic Background Model for Tracking
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BMCBI
2007
114views more  BMCBI 2007»
13 years 7 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»
13 years 6 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»
13 years 7 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
13 years 8 months 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»
13 years 7 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