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» Large Scale Learning of Active Shape Models
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ICPR
2000
IEEE
14 years 8 months ago
Tracking Humans from a Moving Platform
Research at the Computer Vision Laboratory at the University of Maryland has focussed on developing algorithms and systems that can look at humans and recognize their activities i...
Larry S. Davis, Vasanth Philomin, Ramani Duraiswam...
CSC
2006
13 years 9 months ago
An Adaptive Method for Flow Simulation in Three-Dimensional Heterogeneous Discrete Fracture Networks
Natural fractured media are highly unpredictable because of existing complex structures at the fracture and at the network levels. Fractures are by themselves heterogeneous objects...
Hussein Mustapha
NIPS
2001
13 years 9 months ago
Constructing Distributed Representations Using Additive Clustering
If the promise of computational modeling is to be fully realized in higherlevel cognitive domains such as language processing, principled methods must be developed to construct th...
Wheeler Ruml
INFOCOM
2003
IEEE
14 years 26 days ago
Stability and Convergence of TCP-like Congestion Controllers in a Many-Flows Regime
— With the rapid growth of Internet, parameter design and analysis for large-scale networks has become a topic of active interest. Since simulation of such large scale systems is...
Supratim Deb, Sanjay Shakkottai, R. Srikant
JMLR
2006
103views more  JMLR 2006»
13 years 7 months ago
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
Dana Pe'er, Amos Tanay, Aviv Regev