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» Discovering Classification from Data of Multiple Sources
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ICCV
2009
IEEE
14 years 11 months ago
Fast realistic multi-action recognition using mined dense spatio-temporal features
Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...
Andrew Gilbert, John Illingworth, Richard Bowden
WILF
2005
Springer
86views Fuzzy Logic» more  WILF 2005»
15 years 7 months ago
Intelligent Track Analysis on Navy Platforms Using Soft Computing
We have developed and continue to enhance automated intelligent software that performs the tasks and decision making which now occurs by the personnel manning watch stations in the...
Robert Richards, Richard Stottler, Ben Ball, Cosku...
ASPLOS
2008
ACM
15 years 3 months ago
Understanding and visualizing full systems with data flow tomography
It is not uncommon for modern systems to be composed of a variety of interacting services, running across multiple machines in such a way that most developers do not really unders...
Shashidhar Mysore, Bita Mazloom, Banit Agrawal, Ti...
SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
16 years 1 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
SUM
2010
Springer
15 years 3 days ago
Event Modelling and Reasoning with Uncertain Information for Distributed Sensor Networks
CCTV and sensor based surveillance systems are part of our daily lives now in this modern society due to the advances in telecommunications technology and the demand for better sec...
Jianbing Ma, Weiru Liu, Paul Miller