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CVPR
2004
IEEE
14 years 8 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
14 years 27 days ago
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
IFIP12
2009
13 years 4 months ago
Use of AI Techniques for Residential Fire Detection in Wireless Sensor Networks
: Early residential fire detection is important for prompt extinguishing and reducing damages and life losses. To detect fire, one or a combination of sensors and a detection algor...
Majid Bahrepour, Nirvana Meratnia, Paul J. M. Havi...
GECCO
2005
Springer
183views Optimization» more  GECCO 2005»
14 years 7 days ago
802.11 network intrusion detection using genetic programming
Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of fe...
Patrick LaRoche, A. Nur Zincir-Heywood
TWC
2008
194views more  TWC 2008»
13 years 6 months ago
Optimal Power Scheduling for Correlated Data Fusion in Wireless Sensor Networks via Constrained PSO
Optimal power scheduling for distributed detection in a Gaussian sensor network is addressed for both independent and correlated observations. We assume amplify-and-forward local p...
Thakshila Wimalajeewa, Sudharman K. Jayaweera