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» Terrain mapping and classification using neural networks
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ISMB
1994
14 years 11 months ago
DNA Sequence Analysis Using Hierarchical ART-based Classification Network
Adaptive resonance theory (ART)describes a class of artificial neural networkarchitectures that act as classification tools whichself-organize, workin realtime, and require no ret...
Cathie LeBlanc, Charles R. Katholi, Thomas R. Unna...
PERCOM
2005
ACM
15 years 9 months ago
Supporting Topographic Queries in a Class of Networked Sensor Systems
Topographic querying is the process of extracting data from a sensor network for understanding the graphic delineation of features of interest in a terrain. Query processing techn...
Mitali Singh, Viktor K. Prasanna
ICASSP
2009
IEEE
15 years 4 months ago
Voice conversion using Artificial Neural Networks
In this paper, we propose to use Artificial Neural Networks (ANN) for voice conversion. We have exploited the mapping abilities of ANN to perform mapping of spectral features of ...
Srinivas Desai, E. Veera Raghavendra, B. Yegnanara...
99
Voted
TKDE
2008
114views more  TKDE 2008»
14 years 9 months ago
Neural-Based Learning Classifier Systems
UCS is a supervised learning classifier system that was introduced in 2003 for classification in data mining tasks. The representation of a rule in UCS as a univariate classificati...
Hai Huong Dam, Hussein A. Abbass, Chris Lokan, Xin...
65
Voted
ICANN
2007
Springer
15 years 3 months ago
Visualising Class Distribution on Self-organising Maps
The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...
Rudolf Mayer, Taha Abdel Aziz, Andreas Rauber