The scientific research deals with organization principles of parallel-hierarchical transform for multistage perception and processing, compression and recognition of information in informational structure and computational systems which make use of computational scheme similar to neural. Unified methodological approach was developed for analysis of parallel processes. This approach considers influence of structural hierarchy in dynamics, in other words it tracks processes of spatial areas transformation of correlated and generation of uncorrelated in time elements of generated network, at the time of transition of the network from one stable stage to another
Students of human and machine vision share the belief that massively parallel processing characteriz...
Early vision tasks and in particular texture analysis are solved introducing a hierarchical neuromor...
It is well known that the visual cortex efficiently processes high-dimensional spatial informa-tion ...
Paper deals with organization principles of parallel-hierarchical (PH) transform for multistage perc...
A system is described that uses a parallel network-based approach to do classification and diagnosis...
Nonlinear, local and highly parallel algorithms can perform several simple but important visual co...
this paper, BROADCAST and SUMMATION were identified as basic fundamental elements. The original mat...
The study of the visual system of the brain has attracted the attention and interest of many neuro-s...
It is well known that the visual cortex efficiently processes high-dimensional spatial information b...
Subject of investigation: computing process of parallel image processing on multi-processor computin...
<div><p>It is well known that the visual cortex efficiently processes high-dimensional spatial infor...
This thesis is about image analysis methods based on hierarchical graph represen-tations. A hierarch...
Hierarchical learning algorithms have enjoyed tremendous growth in recent years, with many new al-go...
This paper presents how morphological transformations can be related to representations of a set on ...
We present a connectionist method for representing images that explicitly addresses their hierarchic...
Students of human and machine vision share the belief that massively parallel processing characteriz...
Early vision tasks and in particular texture analysis are solved introducing a hierarchical neuromor...
It is well known that the visual cortex efficiently processes high-dimensional spatial informa-tion ...
Paper deals with organization principles of parallel-hierarchical (PH) transform for multistage perc...
A system is described that uses a parallel network-based approach to do classification and diagnosis...
Nonlinear, local and highly parallel algorithms can perform several simple but important visual co...
this paper, BROADCAST and SUMMATION were identified as basic fundamental elements. The original mat...
The study of the visual system of the brain has attracted the attention and interest of many neuro-s...
It is well known that the visual cortex efficiently processes high-dimensional spatial information b...
Subject of investigation: computing process of parallel image processing on multi-processor computin...
<div><p>It is well known that the visual cortex efficiently processes high-dimensional spatial infor...
This thesis is about image analysis methods based on hierarchical graph represen-tations. A hierarch...
Hierarchical learning algorithms have enjoyed tremendous growth in recent years, with many new al-go...
This paper presents how morphological transformations can be related to representations of a set on ...
We present a connectionist method for representing images that explicitly addresses their hierarchic...
Students of human and machine vision share the belief that massively parallel processing characteriz...
Early vision tasks and in particular texture analysis are solved introducing a hierarchical neuromor...
It is well known that the visual cortex efficiently processes high-dimensional spatial informa-tion ...