segmentation problem
The segmentation problem in morphology learning
... reasonable for a model to focus on one aspect of the learning problem - and at any rate the learn- ing task is still much broader and more realistic than t h at at t em p t ed by the rec[r] ...
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A SEGMENTATION PROBLEM IN QUANTITATIVE ASSESSMENT OF ORGAN DISPOSITION IN RADIOTHERAPY
... One problem involves the rate of the particular disposition of the structures of interest in a ...basic problem to solve before to compute the risk index, is the segmentation of the organs involved ...
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Updating an NLP system to fit new domains: an empirical study on the sentence segmentation problem
... potential problem for this approach is that by choosing data with lower confidence levels, noisy data that are difficult to classify tend to be chosen; another problem is that it tends to choose similar ...
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Early smoke detection of forest fires based on SVM image segmentation
... superpixel segmentation on the image, and the over-segmentation problem is solved with a new superpixel merging ...line segmentation algorithm is used to eliminate the interference of clouds ...
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International Journal of Computer Science and Mobile Computing
... Image segmentation has often been defined as the problem of localizing regions of an image relative to ...image segmentation approaches have provided interactive methods that implicitly define the ...
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Image Segmentation using Normalized Cut & Dual Wavelet Segmentation
... image segmentation image is divided into some regions and in that region each pixel is similar with respect to some of the characteristic such as the color, intensity, ortexture ...the segmentation ...
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Word Segmentation as General Chunking
... Every language has a set of constraints on how phonemes can combine together into syllables, called phonotactic constraints. These constraints af- fect the distribution of phonemes found at the be- ginnings and ends of ...
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A Word Segmentation System for Handling Space Omission Problem in Urdu Script
... Word Segmentation is the foremost obligatory task in almost all the NLP applications, where the initial phase requires tokenization of input into ...word segmentation challenges. Though the Urdu word ...
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Efficient Segmentation of the Foetal Ultrasound Image Using Smoothing Algorithm
... quantitative segmentation evaluation of the representative selection method submitted to Challenge US: Biometric Measurements from Fetal Ultrasound ...the problem in solving a very hard segmentation ...
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Modification of the mean-square error principle to double the convergence speed of a special case of Hopfield neural network used to segment pathological liver color images
... the segmentation problem of multi- dimensional medical ...the problem, helped SCHNN to converge twice as fast as the same optimal solution obtained with the mean-square error ...our ...
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Application of Higher Order Image Co-Segmentation in Medical Images
... co- segmentation problem in terms of the higher-order energy optimization, which complements the existing MRF segmentation framework and improves the accuracy of co-segmenting the challenging images ...
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MULTI CROSS PROTOCOL WITH HYBRID TOPOGRAPHY CONTROL FOR MANETS
... range of functions and classes, but in solving inverse problems and building thermal tomograms it is required the additional use of contour and fractal analysis methods [4, 5]. That was the basis for the development of ...
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Research on Automatic Writing of Football News based on Deep Learning
... Automatic text summarization is one of the standard tasks in the field of NLP. Starting from Luhn's seminal work (1958), research in automatic summarization has made great progress with many different variants of the ...
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APPENDIX-II Outdoor Scene Image Segmentation- State of the Art
... Image+ segmentation is one of the most vital precursors for image processing based applications and has an essential impact on the whole performance of the developed ...Image segmentation is to divide an ...
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Magnetic resonance image tissue classification using an automatic method
... The problem is that where SPM, FSL and pro- posed method diagnose WM or GM or combination of them, FreeSurfer can see a brain structure, such as brain stem ...of segmentation of brain ...other ...
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Texture Filters and Fractal Dimension on Image Segmentation
... Texture analysis is important in several image segmentation and classification problems. Different image textures manifest themselves by dissimilarity in both the property values and the spatial interrelationships ...
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Categorisation of Urban Water Consumptions
... The current work categorises 1-year of urban domestic water consumptions. Results show that it is possible to obtain an automatic identification of recurrent behaviours and pinpoint time-dependent patterns on annual ...
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Nano Fiber Images Thresholding based on Imperial Competitive Algorithm
... Finding number of optimal clusters is usually called cluster validation problem [29]. Therefore, many studies have been carried out by researchers. Among them, one may point to investigations done by [30-32]. ...
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Mumford-Shah model for image segmentation
... Image segmentation is the most critical pre-processing task in many computer vision ...image segmentation has gained a lot of attention since many ...Image segmentation deals with the problem ...
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A Study on Image Color spaces and Image Segmentation Algorithms
... L*a*b* color space is performing good with almost all segmentation techniques. SLIC and Normalized cut have L*a*b* color space conversion at their first step. Since most of the super pixel based ...
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