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Home > Artificial Intelligence and Soft Computing: 11th International Conference, ICAISA 2012, Zakopane, Poland, April 29 - 3 May, 2012, Proceedings, Part I > Combining Color and Haar Wavelet Responses for Aerial Image Classification
Artificial Intelligence and Soft Computing: 11th International Conference, ICAISA 2012, Zakopane, Poland, April 29 - 3 May, 2012, Proceedings, Part I |
Leszek Rutkowski; Marcin Korytkowski; Rafał Scherer; Ryszard Tadeusiewicz; Lotfi Zadeh; Jacek Zurada
Springer Berlin Heidelberg
Artificial Intelligence and Soft Computing: 11th International Conference, ICAISA 2012, Zakopane, Poland, April 29 - 3 May, 2012, Proceedings, Part I
Combining Color and Haar Wavelet Responses for Aerial Image Classification
Authors

Ricardo C. B. Rodrigues; Sergio Pellegrino; Hemerson Pistori

ARI Id

1664722326515_2927041

Access

Not Available Free

Pages

583-591

DOI

10.1007/978-3-642-29347-4_68

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-642-29347-4_68

Table of Contents of Book
Showing 1 to 20 of 87 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Front Matter
1-1
Neural Network-Based PCA: An Application to Approximation of a Distributed Parameter System
Krzysztof Bartecki
3-11
Parallel Realisation of the Recurrent Multi Layer Perceptron Learning
Jarosław Bilski; Jacek Smoląg
12-20
An Innovative Hybrid Neuro-wavelet Method for Reconstruction of Missing Data in Astronomical Photometric Surveys
Giacomo Capizzi; Christian Napoli; Lucio Paternò
21-29
Speeding Up the Training of Neural Networks with CUDA Technology
Daniel Salles Chevitarese; Dilza Szwarcman; Marley Vellasco
30-38
On the Uniform Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Time-Varying Environment
Meng Joo Er; Piotr Duda
39-46
On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment
Piotr Duda; Yoichi Hayashi; Maciej Jaworski
47-54
On the Strong Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Time-Varying Noise
Piotr Duda; Marcin Korytkowski
55-62
Incidental Neural Networks as Nomograms Generators
Bogumił Fiksak; Maciej Krawczak
63-71
Selection of Activation Functions in the Last Hidden Layer of the Multilayer Perceptron
Krzysztof Halawa
72-80
Information Freedom and Associative Artificial Intelligence
Adrian Horzyk
81-89
On the Application of the Parzen-Type Kernel Regression Neural Network and Order Statistics for Learning in a Non-stationary Environment
Maciej Jaworski; Meng Joo Er; Lena Pietruczuk
90-98
On Learning in a Time-Varying Environment by Using a Probabilistic Neural Network and the Recursive Least Squares Method
Maciej Jaworski; Marcin Gabryel
99-110
Binary Perceptron Learning Algorithm Using Simplex-Method
Vladimir Kryzhanovskiy; Irina Zhelavskaya; Jakov Karandashev
111-118
Objects Auto-selection from Stereo-Images Realised by Self-Correcting Neural Network
Łukasz Laskowski
119-125
On-Line Trajectory-Based Linearisation of Neural Models for a Computationally Efficient Predictive Control Algorithm
Maciej Ławryńczuk
126-134
Short Time Series of Website Visits Prediction by RBF Neural Networks and Support Vector Machine Regression
Vladimir Olej; Jana Filipova
135-142
Spectra of the Spike-Flow Graphs in Geometrically Embedded Neural Networks
Jarosław Piersa; Tomasz Schreiber
143-151
Weak Convergence of the Parzen-Type Probabilistic Neural Network Handling Time-Varying Noise
Lena Pietruczuk; Meng Joo Er
152-159
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 87 entries
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