This book - in conjunction with the two volumes LNCS 5226 and LNAI 5227 - constitutes the refereed proceedings of the Fourth internationalconference on Intelligent computing, ICIC 2008, held in Shanghai, China in Sep...
ISBN:
(数字)9783540859307
ISBN:
(纸本)9783540859291
This book - in conjunction with the two volumes LNCS 5226 and LNAI 5227 - constitutes the refereed proceedings of the Fourth internationalconference on Intelligent computing, ICIC 2008, held in Shanghai, China in September 2008. The intelligent computing technology includes a range of techniques such as artificial intelligence, perceptual and patternrecognition, evolutionary and adaptive computing, informatics theories and applications, computational neuroscience and bioscience, softcomputing, case based and constrained reasoning, agents, networking and computer supported co-operative working, human computer interface issues. ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications.
This paper presents a novel formulation of multiclass support vector machine by integrating the concepts of soft labels and granular computing. The proposed multiclass mv-granular soft support vector machine uses soft...
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The morphogenetie engineering that learns biological morphogenesis has attracted our attention recently. In the paper, we first propose a new system that models pattern formation in biological morphogenesis. The syste...
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ISBN:
(纸本)9781538626337
The morphogenetie engineering that learns biological morphogenesis has attracted our attention recently. In the paper, we first propose a new system that models pattern formation in biological morphogenesis. The system is theoretically able to produce a variety of shapes similar to desired one. However, to realize that, it is necessary to optimize parameters of the system. So, we assume the use of an evolutionary algorithm for the optimization and examine a suitable fitness function for the optimization through simulations. The simulation results reveal that the suitable fitness function enables the evolutionary algorithm to find parameters that produce a variety of rough shapes including the desired one at the top priority and then to conduct fine-tuning of parameters for obtaining closer shapes to the desired one.
In this paper we present a method for object manipulation using a Barrett Hand and algorithms which involve Fuzzy Logic and Conformal Geometric Algebra. The paper explains how we relate these two mathematical systems ...
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ISBN:
(纸本)0769525210
In this paper we present a method for object manipulation using a Barrett Hand and algorithms which involve Fuzzy Logic and Conformal Geometric Algebra. The paper explains how we relate these two mathematical systems in order to implement algorithms for geometric computing under uncertainty. In the experimental part we show a task of visually-guided smooth grasping of real 3D objects.
Named Entity recognition (NER) is one of the most important problems in Natural Language Processing (NLP). NER also has a broad prospect for application and important research value. There are a lot of methods and tec...
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ISBN:
(纸本)9781479902606
Named Entity recognition (NER) is one of the most important problems in Natural Language Processing (NLP). NER also has a broad prospect for application and important research value. There are a lot of methods and technology to solve NER problem. In this paper, for a specific application background, a new multi-pattern fusion based semi-supervised NER method is proposed. We use soft-matching method in entity internal pattern first. Then through bootstrapping process in the training corpus, we get an entity external pattern. Finally we use fusion internal and external pattern method to complete the named entity recognition. Experiments on Chinese weapon names, from People's Daily corpus and some military news articles were performed. They showed when the internal characteristic is significant and training corpus has a higher similarity with test corpus, this method performs better than soft matching method and external pattern based bootstrapping method, improving the named entity recognition precision by 18.2%.
Rat hippocampal dissociated culture on multi electrodes array dish (MED) is useful as minimalized brain model to investigation of principles of brain information processing. Rat hippocampal neuronal cells were culture...
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ISBN:
(纸本)9781479959556
Rat hippocampal dissociated culture on multi electrodes array dish (MED) is useful as minimalized brain model to investigation of principles of brain information processing. Rat hippocampal neuronal cells were cultured on MED with 64 microelectrodes and they reconstructed a complex network. We analyzed stability of neuronal electrical activity pattern after two distinct electrical stimuli. Distances between averaged spike pattern and spike pattern after electrical stimulation for summarizing the activity pattern to temporal axis direction and trial (sweep) axis direction. The distances of the analysis for summarized to temporal axis direction increased immediately after stimulation and after it, recovered to standard level. Moreover, stabilizing points emerge every 100 ms on both analysis for summarizing the activity pattern to temporal axis direction and trial axis direction. These results suggest that the neural network buttress by electrical stimulation and it be complex by two-point inputs.
In this paper, we have proposed a framework for representation and recognition of motion events between two or more objects. The framework combines qualitative spatial abstractions with the technique of syntactic patt...
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ISBN:
(纸本)9781467345286
In this paper, we have proposed a framework for representation and recognition of motion events between two or more objects. The framework combines qualitative spatial abstractions with the technique of syntactic patternrecognition in order to recognize motion patterns in an input stream. The key feature of the framework is recognition of motion events among multiple objects and handling of temporal constraints among events.
We proposed a pixel-based machine learning algorithm in the training of artificial immune recognition system (AIRS) to detect lung lesions in two-dimensional computed tomography (CT) scans. AIRS is an immune based alg...
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Iris technology is used in various fields especially for security purposes like for as in military, data centers and airports because of its eccentricity and firmness. Among all other data from biometric such as finge...
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ISBN:
(纸本)9781538603741
Iris technology is used in various fields especially for security purposes like for as in military, data centers and airports because of its eccentricity and firmness. Among all other data from biometric such as fingerprint, voice-pattern and various data from soft biometric, iris proves it is the most efficient and unreplicable easily. This proposed approach is a concept of tracking every citizens of the nation all stages through his life from birth to death. Iris pattern of the person is captured and saved in the government database and the additional details has also been added corresponding to it. Once a person is registered, it gets automatically updated throughout all stages of his life until death. Till now for demographic analysis the government officials takes the census once in every five years. This system reduces the complexity by avoiding periodic updating of database and he effort that the government takes for this analysis. Daughman's algorithm is utilized in this project for its high percentage of accuracy. Hence, this project proposes the method of caching the population statistics with security and effective maintenance.
A supervised algorithm for computing perceptual groupings in dot patterns is presented. The algorithm uses shape features of the polygons in the Voronoi tessellation of the input pattern. The training patterns identif...
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