Computational

L Rutkowski - Intelligence Methods and, Techniques; Springer: Berlin …, 2008 - Springer
The origins of artificial intelligence can be traced back to early centuries, even to the times of
ancient philosophers, especially if we consider the philosophical aspects of this field of …

[图书][B] New soft computing techniques for system modeling, pattern classification and image processing

L Rutkowski, L Rutkowski - 2004 - Springer
Science has made great progress in the twentieth century, with the establishment of proper
disciplines in the fields of physics, computer science, molecular biology, and many others. At …

On image compression by competitive neural networks and optimal linear predictors

R Cierniak, L Rutkowski - Signal Processing: Image Communication, 2000 - Elsevier
In this paper a new algorithm for image compression, named predictive vector quantization
(PVQ), is developed based on competitive neural networks and optimal linear predictors …

[PDF][PDF] An Empirical Study of a Simple Incremental Classifier Based on Vector Quantization and Adaptive Resonance Theory

S Czmil, J Kluska, A Czmil - International Journal of Applied …, 2024 - intapi.sciendo.com
When constructing a new data classification algorithm, relevant quality indices such as
classification accuracy (ACC) or the area under the receiver operating characteristic curve …

Neural network algorithm for image reconstruction using the “grid-friendly” projections

R Cierniak - Australasian Physical & Engineering Sciences in …, 2011 - Springer
The presented paper describes a development of original approach to the reconstruction
problem using a recurrent neural network. Particularly, the “grid-friendly” angles of …

An image compression algorithm based on neural networks

R Cierniak - Artificial Intelligence and Soft Computing-ICAISC 2004 …, 2004 - Springer
In this paper a combination of algorithms useful for image compression standard is
discussed. The main algorithm, named predictive vector quantization (PVQ), is based on …

Video compression algorithm based on neural network structures

M Knop, R Cierniak, N Shah - … , ICAISC 2014, Zakopane, Poland, June 1-5 …, 2014 - Springer
The presented here paper describes a new approach to the video compression problem.
Our method uses the neural network image compression algorithm which is based on the …

Video compression algorithm based on neural networks

R Cierniak, M Knop - International Conference on Artificial Intelligence and …, 2013 - Springer
This paper describes a concept of algorithm dedicated to video compression. In our
approach we use an algorithm named the predictive vector quantization (PVQ). Into this …

Neural video compression algorithm

M Knop, P Dobosz - Image Processing & Communications Challenges 6, 2015 - Springer
In this paper, we present and discuss experimental results of a new concept of algorithm for
video compression. It is named Predictive Vector Quantization (PVQ) and incorporates …

Computed tomography images denoising with Markov random field model parametrized by Prewitt mask

M Knas, R Cierniak - Image Processing & Communications Challenges 6, 2015 - Springer
A denoising algorithm for computed tomography images is proposed. The presented method
of noise reduction uses Markov Random Field (MRF) model, Gaussian filter and adaptive …