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Home > Adaptive and Natural Computing Algorithms: 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers > Growing Competitive Network for Tracking Objects in Video Sequences
Adaptive and Natural Computing Algorithms: 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers |
Ville Kolehmainen; Pekka Toivanen; Bartlomiej Beliczynski
Springer Berlin Heidelberg
Adaptive and Natural Computing Algorithms: 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers
Growing Competitive Network for Tracking Objects in Video Sequences
Authors

J. M. Ortiz-de-Lazcano-Lobato; R. M. Luque; D. López-Rodríguez; E. J. Palomo

ARI Id

1664698231326_2779044

Access

Not Available Free

Pages

109-118

DOI

10.1007/978-3-642-04921-7_12

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-642-04921-7_12

Table of Contents of Book
Showing 1 to 20 of 65 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Representation
Adrian Horzyk
1-10
On Tractability of Neural-Network Approximation
Paul C. Kainen; Věra Kůrková; Marcello Sanguineti
11-21
Handling Incomplete Data Using Evolution of Imputation Methods
Pawel Zawistowski; Maciej Grzenda
22-31
Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping
Paavo Nieminen; Tommi Kärkkäinen
32-41
Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons
Weiliang Chen; Reinoud Maex; Rod Adams; Volker Steuber; Lee Calcraft; Neil Davey
42-51
Some Enhancements to Orthonormal Approximation of 2D Functions
Bartlomiej Beliczynski
52-61
Shortest Common Superstring Problem with Discrete Neural Networks
D. López-Rodríguez; E. Mérida-Casermeiro
62-71
A Methodology for Developing Nonlinear Models by Feedforward Neural Networks
Henrik Saxén; Frank Pettersson
72-78
A Predictive Control Economic Optimiser and Constraint Governor Based on Neural Models
Maciej Ławryńczuk
79-88
Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multi-models
Maciej Ławryńczuk
89-98
Parallel Implementations of Recurrent Neural Network Learning
Uroš Lotrič; Andrej Dobnikar
99-108
Growing Competitive Network for Tracking Objects in Video Sequences
J. M. Ortiz-de-Lazcano-Lobato; R. M. Luque; D. López-Rodríguez; E. J. Palomo
109-118
Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps
Mika Liukkonen; Mikko Heikkinen; Eero Hälikkä; Reijo Kuivalainen; Yrjö Hiltunen
119-129
Network Security Using Growing Hierarchical Self-Organizing Maps
E. J. Palomo; E. Domínguez; R. M. Luque; J. Muñoz
130-139
On Document Classification with Self-Organising Maps
Jyri Saarikoski; Kalervo Järvelin; Jorma Laurikkala; Martti Juhola
140-149
A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard Matrices
V. Álvarez; M. D. Frau; A. Osuna
150-160
Tuning of Large-Scale Linguistic Equation (LE) Models with Genetic Algorithms
Esko K. Juuso
161-170
Elitistic Evolution: An Efficient Heuristic for Global Optimization
Francisco Viveros Jiménez; Efrén Mezura-Montes; Alexander Gelbukh
171-182
Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps
Jiří Kubalík
183-192
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 65 entries
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