A group of threshold update algorithms with respect to simultaneous, partially simultaneous and sequential update modes is given. The network with these algorithms is asymptotically stable. The upper bounds of residua...
详细信息
ISBN:
(纸本)0780308034
A group of threshold update algorithms with respect to simultaneous, partially simultaneous and sequential update modes is given. The network with these algorithms is asymptotically stable. The upper bounds of residuals of the convergent solutions are presented. Simulation results are shown.< >
A full domain optimum neural network is proposed. A method of devising stable points firstly and basins of attraction latterly increases speed and correctness of imagerecognition. This paper proves the quality and sp...
详细信息
A full domain optimum neural network is proposed. A method of devising stable points firstly and basins of attraction latterly increases speed and correctness of imagerecognition. This paper proves the quality and speed of convergence and invariance of mapping. Several computer simulation examples involving trained and recognized targets illustrate the usefulness of the method.< >
In this approach to bilevel image restoration the autoconnections of the network generally weight more heavily than interconnections. This characteristic exists in general degradation models of image restoration and c...
详细信息
ISBN:
(纸本)0780308034
In this approach to bilevel image restoration the autoconnections of the network generally weight more heavily than interconnections. This characteristic exists in general degradation models of image restoration and can be utilized to guide the network to be updated more efficiently. A criterion for choice of the neurons to be updated at each step is proposed. An algorithm using the criterion converges to more precise solutions with fewer updates as shown by simulation.< >
The scheme presented here finds the boundary of moving front scene by subtracting the image by the background saving in *** the boundary at hand,a new kind of motion compensation algorithm called region matching algor...
详细信息
The scheme presented here finds the boundary of moving front scene by subtracting the image by the background saving in *** the boundary at hand,a new kind of motion compensation algorithm called region matching algorithm is used to improve motion compensation *** based on the boundary information,an interframe interpolation method for reconstruction image omitted by subsampling in time domain is developed. Computer simulation showed that no conspicuous noise is observed at the bit rate about 64Kbit/s.
The authors present a novel neural network model for visual information processing. The model uses a hierarchical network with local connectivity as a stem network. This network generates hypotheses about the expected...
详细信息
The authors present a novel neural network model for visual information processing. The model uses a hierarchical network with local connectivity as a stem network. This network generates hypotheses about the expected image content, and then selectively uses small neural network modules on parts of the image to check these hypotheses. The resulting neural network is able to use different spatial resolutions, and is both modular and hierarchical. Applying this model to remotely sensed image classification (Landsat TM) is described. A slightly better classification accuracy was achieved at reduced computational cost, compared to classification without the model.< >
The interpretation of neural network behavior is of particular interest in neural network research. Visualization methods provide the necessary means to simultaneously analyze the huge amount of information hidden in ...
详细信息
The interpretation of neural network behavior is of particular interest in neural network research. Visualization methods provide the necessary means to simultaneously analyze the huge amount of information hidden in the network. The authors propose a framework for visualization methods suited for feed forward neural networks. The basic idea is to use the spatial information available outside the network to arrange the data to be visualized (weights, activations of units) in the spatial domain of the display. Several examples which illustrate the proposed framework are presented.< >
Compared with the richness in detail of images generated by iterated function systems, the memory requirement of them is very low. Displaying these images is very time consuming, and currently there is no method publi...
详细信息
Compared with the richness in detail of images generated by iterated function systems, the memory requirement of them is very low. Displaying these images is very time consuming, and currently there is no method published to derive an iterated function system directly from a given image. This is known as the inverse problem. The authors introduce discrete transformations and direct computation of a discrete attractor with deterministic noniterative algorithms. This results in an essential saving of time. Furthermore they present a solution of the inverse problem in the one dimensional discrete space.< >
Dynamic neural networks are able to alter the topology of the underlying graph in order to provide better performance. A lot of interesting algorithms for topology learning have been published, but no formal descripti...
详细信息
We investigate the performance of selected texture models for the purpose of land use classification. The texture models are evaluated based on the resulting classification error rates. Three classes of texture models...
详细信息
Computer vision and image understanding processes are not very robust; small changes in exposure parameters or in internal parameters of algorithms can lead to significantly different results. A combination (fusion) o...
详细信息
Computer vision and image understanding processes are not very robust; small changes in exposure parameters or in internal parameters of algorithms can lead to significantly different results. A combination (fusion) of these results is profitable. The authors introduce an extended fusion concept dealing with different sources of information at external (world, scene, image) and internal (image description, scene description) levels and define the process of fusion. Each level requires its own procedure of quality measure and information fusion in order to yield a combination of components from several sources. Related work in the field is reviewed. Examples from the authors' own work cover remote sensing (improvement of classification results by fusion at the image level), medical imageprocessing of ocular fundus images (automatic control point selection by fusion at the image description level) and the interpretation of Billard scenes (object identification by fusion at the scene description level).< >
暂无评论