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ICONIP
2004
14 years 28 days ago
Evaluation of Comprehensive Learning Particle Swarm Optimizer
Abstract. Particle Swarm Optimizer (PSO) is one of the evolutionary computation techniques based on swarm intelligence. Comprehensive Learning Particle Swarm Optimizer (CLPSO) is a...
Jing J. Liang, A. Kai Qin, Ponnuthurai N. Sugantha...
ICONIP
2004
14 years 28 days ago
Genetic Algorithm for Optimal Imperceptibility in Image Communication Through Noisy Channel
Abstract. Data embedding in digital images involves a trade off relationship among imperceptibility, robustness, data security and embedding rate etc. Genetic Algorithms (GA) can b...
Santi P. Maity, Malay Kumar Kundu, Prasanta Kumar ...
ICONIP
2004
14 years 28 days ago
The Most Robust Loss Function for Boosting
Boosting algorithm is understood as the gradient descent algorithm of a loss function. It is often pointed out that the typical boosting algorithm, Adaboost, is seriously affected ...
Takafumi Kanamori, Takashi Takenouchi, Shinto Eguc...
ICONIP
2004
14 years 28 days ago
Tamil Handwriting Recognition Using Subspace and DTW Based Classifiers
Niranjan Joshi, G. Sita, A. G. Ramakrishnan, Sriga...
ICONIP
2004
14 years 28 days ago
Generalization in Learning Multiple Temporal Patterns Using RNNPB
Abstract. This paper examines the generalization capability in learning multiple temporal patterns by the recurrent neural network with parametric bias (RNNPB). Our simulation expe...
Masato Ito, Jun Tani
ICONIP
2004
14 years 28 days ago
In-vehicle Noise and Enhanced Speech Intelligibility
In-Car speech recognition will be pervasive over the coming years. The goal of speech enhancement is to increase the quality and intelligibility of speech in a noisy environment. T...
Akbar Ghobakhlou, Richard Kilgour
ICONIP
2004
14 years 28 days ago
A Connectionist Account of Ontological Boundary Shifting
Previous research on children's categorizations has suggested that children use perceptual and conceptual knowledge to generalize object names. Especially, the relation betwee...
Shohei Hidaka, Jun Saiki
ICONIP
2004
14 years 28 days ago
Collaborative Agent Learning Using Neurocomputing
In this paper we investigate techniques to train an agent to accomplish certain tasks. Artificial Neural Networks will be the technique used to the train the agent. This paper will...
Saulat Farooque, Ajith Abraham, Lakhmi C. Jain
ICONIP
2004
14 years 28 days ago
Neural-Evolutionary Learning in a Bounded Rationality Scenario
Abstract. This paper presents a neural-evolutionary framework for the simulation of market models in a bounded rationality scenario. Each agent involved in the scenario make use of...
Ricardo Matsumura de Araújo, Luís C....