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SGAI
2007
Springer
15 years 6 months ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
VLSISP
2002
114views more  VLSISP 2002»
14 years 11 months ago
Image processing using cellular neural networks based on multi-valued and universal binary neurons
Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an a...
Igor N. Aizenberg, Constantine Butakoff
IJACTAICIT
2010
163views more  IJACTAICIT 2010»
14 years 9 months ago
Modified Vector Field Histogram with a Neural Network Learning Model for Mobile Robot Path Planning and Obstacle Avoidance
In this work, a Modified Vector Field Histogram (MVFH) has been developed to improve path planning and obstacle avoidance for a wheeled driven mobile robot. It permits the detecti...
Bahaa I. Kazem, Ali H. Hamad, Mustafa M. Mozael
ICAC
2008
IEEE
15 years 6 months ago
Clustering Analysis for the Management of Self-Monitoring Device Networks
Abstract— The increasing computing and communication capabilities of multi-function devices (MFDs) have enabled networks of such devices to provide value-added services. This has...
Andres Quiroz, Manish Parashar, Nathan Gnanasamban...
SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
13 years 2 months ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...