Summary form only given. My presentation contains a review of recent results of development of analog optical patternrecognition methods which are based on examples of transparent (all-optical or hybrid) setup of opt...
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Following the fourth edition of the workshop on Reproducible Research in patternrecognition (RRPR) at the internationalconference on patternrecognition (ICPR), this paper reports the main discussions that were held...
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In this article we shortly present new string pattern matching algorithm. the algorithm uses novel technique for skipping unnecessary comparisons in pattern searching phase. the pattern searching is applied in almost ...
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ISBN:
(纸本)9789532900910
In this article we shortly present new string pattern matching algorithm. the algorithm uses novel technique for skipping unnecessary comparisons in pattern searching phase. the pattern searching is applied in almost all branches of science such as bioinformatics, information security, text mining, etc. In the context of continuous increase of data, efficient algorithms are necessary to ensure that one can find a pattern in a sequence in a fast and accurate manner. pattern searching solves the problem of finding a pattern exhibiting certain properties within a given sequence of symbols. Concept of the new algorithm presented in this article is based on a character index in a pattern, aiming at, but not limited to patterns in DNA sequences.
A microbial bioflim is structured mainly by a protective sticky matrix of extracellular polymeric substances. the appreciation of such structures is useful for the microbiologist and can be subjective to the observer....
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ISBN:
(纸本)9783642040306
A microbial bioflim is structured mainly by a protective sticky matrix of extracellular polymeric substances. the appreciation of such structures is useful for the microbiologist and can be subjective to the observer. thus, quantifying the underlying images in useful parameters by means of an objective image segmentation process helps substantially to reduce errors in quantification. this paper proposes an approach to segmentation of biofilm images rising optimal multilevel thresholding and indices of clustering validity. A comparison of automatically segmented images with manual segmentation is done through different thresholding criteria, and clustering validity indices are used to find the correct number of thresholds, obtaining results similar to the segmentation done by an expert.
Face recognition is an important subject because of its usefulness in many applications like banking system and door access control systems. For this reason, there is always the need to recognize faces automatically w...
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the patternrecognition problem in RICH counters concerns the identification of an unknown number of imperfect roughly-circular rings made of a low number of discrete points in presence of background. In this paper we...
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the patternrecognition problem in RICH counters concerns the identification of an unknown number of imperfect roughly-circular rings made of a low number of discrete points in presence of background. In this paper we present some preliminary results obtained using the Possibilistic C-Spherical Shell algorithm. In particular, we show that the algorithm is very tolerant and robust to noise (outliers rate) level. Moreover, for complex images full of rings, we introduce an iterative scheme that greatly improves performances. Besides that, the rings are not requested to be complete, only arcs are enough to recognize the underlying rings by the algorithm.
Motif Finding is one of the most important tasks in gene regulation which is essential in understanding biological cell functions. Based on recent studies, the performance of current motif finders is not satisfactory....
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ISBN:
(纸本)9783642040306
Motif Finding is one of the most important tasks in gene regulation which is essential in understanding biological cell functions. Based on recent studies, the performance of current motif finders is not satisfactory. A number of ensemble methods have been proposed to enhance the accuracy of the results. Existing ensemble methods overall performance is better than stand-alone motif finders. A recent ensemble method, MotifVoter, significantly outperforms all existing stand-alone and ensemble methods. In this paper, we propose a method, MProfiler, to increase the accuracy of MotifVoter without increasing the run time by introducing ail idea called center profiling. Our experiments show improvement in the quality of generated clusters over MotifVoter in both accuracy and cluster compactness. Using 56 datasets, the accuracy of the final results using our method achieves 80% improvement in correlation coefficient nCC, and 93% improvement in performance coefficient nPC over MotifVoter.
Lubrication fault is difficult to determine in gear-box because of multi-parameters in oil monitoring. A patternrecognition method of gear-box lubricating fault diagnosis based on Rough Neural Network is presented. C...
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ISBN:
(纸本)9781538604373
Lubrication fault is difficult to determine in gear-box because of multi-parameters in oil monitoring. A patternrecognition method of gear-box lubricating fault diagnosis based on Rough Neural Network is presented. Considering the multiple faults in complex fault diagnosis system such as wind turbine gear-box, dimension reducing of numerous monitoring parameters by rough set theory is introduced. And a multiple-layer BP neural network is constructed for completing fault patternrecognition. the analytic results reveal that the presented method is effective to composite fault diagnosis in oil analysis. And not only a large quantity of time and energy of the expert can be saved, but efficiency and reliability can be enhanced.
the following article describes a tool for visualization and revealing hidden Markov recognizers (HMR) which allows the developer to get a detailed inside into the recognition process. It is demonstrated by examples w...
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ISBN:
(纸本)0818678984;0818678992
the following article describes a tool for visualization and revealing hidden Markov recognizers (HMR) which allows the developer to get a detailed inside into the recognition process. It is demonstrated by examples which improvements can be made for a HMR using an appropriate processing and visualization tool.
Studies about the variation of DNA methylation pattern under high temperature stress (37 degrees C ) contribute to a comprehensive understanding of the apparent regulation of biological functions. Based on the in vitr...
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ISBN:
(纸本)9781424447138
Studies about the variation of DNA methylation pattern under high temperature stress (37 degrees C ) contribute to a comprehensive understanding of the apparent regulation of biological functions. Based on the in vitro cultivation of genetically modified birch (Betula platyphylla Suk.) clones for high-temperature stress, the paper detected exogenous gene transcription level differences with RT-PCR. Methylationsensitive amplified polymorphism (MSAP) analysis the variation of DNA methylation pattern in transgenic birch. In this paper we used ten pairs of primers MSAP to deal with genetically modified DNA screening birch. the study revealed that high temperature stress can lead the level of transcriptional expression of transgene decrease, while endogenous levels of DNA methylation, including the overall methylation, the lateral semi-cytosine methylation as well as the inside of cytosine methylation level of the whole is almost twice than the control.
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