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IJCNN
2006
IEEE
15 years 4 months ago
In-Place Learning for Positional and Scale Invariance
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
Juyang Weng, Hong Lu, Tianyu Luwang, Xiangyang Xue
IJCNN
2006
IEEE
15 years 4 months ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...
IJCNN
2006
IEEE
15 years 4 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
IJCNN
2006
IEEE
15 years 4 months ago
Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing
—Event-related potentials (ERPs) recorded at the scalp are indicators of brain activity associated with eventrelated information processing; hence they may be suitable for the as...
Akaysha C. Tang, Matthew T. Sutherland, Christophe...
IJCNN
2006
IEEE
15 years 4 months ago
Particle Swarm Optimization based Defensive Islanding of Large Scale Power System
— Defensive islanding is an efficient way to avoid catastrophic failures and wide area blackouts. Power system splitting especially for large scale power systems is a combinatori...
Wenxin Liu, David A. Cartes, Ganesh K. Venayagamoo...