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ICONIP
2004
13 years 6 months ago
TWRBF - Transductive RBF Neural Network with Weighted Data Normalization
This paper introduces a novel RBF model
Qun Song, Nikola K. Kasabov
ICONIP
2004
13 years 6 months ago
Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs
This paper contrasts three related regularization schemes for kernel machines using a least squares criterion, namely Tikhonov and Ivanov regularization and Morozov's discrepa...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
ICONIP
2004
13 years 6 months ago
Non-linear Dimensionality Reduction by Locally Linear Isomaps
Algorithms for nonlinear dimensionality reduction (NLDR) find meaningful hidden low-dimensional structures in a high-dimensional space. Current algorithms for NLDR are Isomaps, Loc...
Ashutosh Saxena, Abhinav Gupta, Amitabha Mukerjee
ICONIP
2004
13 years 6 months 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
13 years 6 months 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
13 years 6 months 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
13 years 6 months ago
Tamil Handwriting Recognition Using Subspace and DTW Based Classifiers
Niranjan Joshi, G. Sita, A. G. Ramakrishnan, Sriga...
ICONIP
2004
13 years 6 months 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