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ICMCS
2005
IEEE
185views Multimedia» more  ICMCS 2005»
16 years 10 days ago
Automatic Object Trajectory-Based Motion Recognition Using Gaussian Mixture Models
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
BMCBI
2007
167views more  BMCBI 2007»
15 years 6 months ago
AlzPharm: integration of neurodegeneration data using RDF
Background: Neuroscientists often need to access a wide range of data sets distributed over the Internet. These data sets, however, are typically neither integrated nor interopera...
Hugo Y. K. Lam, Luis N. Marenco, Tim Clark, Yong G...
ANSS
2006
IEEE
16 years 25 days ago
Grid-Boxing for Spatial Simulation Performance Optimisation
— Computer simulations of complex systems such as physical aggregation processes or swarming and collective behaviour of life-forms, often require order N-squared computational c...
Kenneth A. Hawick, Heath A. James, C. J. Scogings
CIKM
2009
Springer
16 years 1 months ago
On domain similarity and effectiveness of adapting-to-rank
Adapting to rank address the the problem of insufficient domainspecific labeled training data in learning to rank. However, the initial study shows that adaptation is not always...
Keke Chen, Jing Bai, Srihari Reddy, Belle L. Tseng
ICML
2009
IEEE
16 years 7 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...