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» Activity Modeling Using Event Probability Sequences
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ICIP
2005
IEEE
16 years 4 months ago
Active contours on statistical manifolds and texture segmentation
A new approach to active contours on statistical manifolds is presented. The statistical manifolds are 2dimensional Riemannian manifolds that are statistically defined by maps that...
Sang-Mook Lee, A. Lynn Abbott, Neil A. Clark, Phil...
BMCBI
2007
169views more  BMCBI 2007»
15 years 2 months ago
Transcriptional regulatory network refinement and quantification through kinetic modeling, gene expression microarray data and i
Background: Gene expression microarray and other multiplex data hold promise for addressing the challenges of cellular complexity, refined diagnoses and the discovery of well-targ...
Abdallah Sayyed-Ahmad, Kagan Tuncay, Peter J. Orto...
128
Voted
ICDCS
2002
IEEE
15 years 7 months ago
Design of a Policy-Driven Middleware for Secure Distributed Collaboration
We present here the execution model of a policy-driven middleware for building secure distributed collaboration systems from their high level specifications. Our specification m...
Anand R. Tripathi, Tanvir Ahmed, Richa Kumar, Shre...
141
Voted
CVPR
2000
IEEE
16 years 4 months ago
Segmenting Visual Actions Based on Spatio-Temporal Motion Patterns
The analysis of human action captured in video sequences has been a topic of considerable interest in computer vision. Much of the previous work has focused on the problem of acti...
Yong Rui, P. Anandan
VLSISP
1998
111views more  VLSISP 1998»
15 years 2 months ago
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Yue Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan...