In the task of Chinese word segmentation, there are two main segmentation ambiguities, overlapping ambiguity and combination ambiguity. the paper analyzes properties of ambiguities and supposes multi-knowledge approac...
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ISBN:
(纸本)0769525288
In the task of Chinese word segmentation, there are two main segmentation ambiguities, overlapping ambiguity and combination ambiguity. the paper analyzes properties of ambiguities and supposes multi-knowledge approach to disambiguate. Multi-knowledge refers to the knowledge from statistic of large corpus and syntactic, semantic or discourse information about ambiguous words. Class based N-gram and Maximum Entropy model are applied to combining multi-knowledge and disambiguation.
Nowadays, security is becoming a real need for society and a real challenge for those everyday activities such as access control, cash terminals, public transport, internet... where user authentication is required pri...
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ISBN:
(纸本)9780780395930
Nowadays, security is becoming a real need for society and a real challenge for those everyday activities such as access control, cash terminals, public transport, internet... where user authentication is required prior to giving access to confidential information, relevant places or restricted resources. the implementation of a reliable personal recognition system not based on vulnerable topics such as physical keys or passwords is required. Biometrics-based authentication techniques (e.g. face, iris, fingerprint recognition...) in conjunction with smart cards technologies bring a challenging solution to this need. this paper describes the hardware-software co-design of a fingerprint Match On Card system responsible for matching two fingerprint minutiae sets in a reliable and secure way. the proposed system architecture is composed by a general-purpose 8-bit microcontroller and a 40-kgates FPGA, all embedded in a system on chip device. A good solution is detailed from a performance versus cost point-of-view.
Automatic segmentation and classification of recorded meetings provides a basis that enables effective browsing and querying in a meeting archive. Yet, robustness of today's approaches is often not reliable enough...
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ISBN:
(纸本)9781424403660
Automatic segmentation and classification of recorded meetings provides a basis that enables effective browsing and querying in a meeting archive. Yet, robustness of today's approaches is often not reliable enough. We therefore strive to improve on this task by introduction of a hybrid approach combining the discriminative abilities of artificial neural nets and warping capabilities of hidden markov models. Dividing the task into two layers and defining a proper set of individual actions helps to cope withthe problem of lack of data and overcomes conventional single-layered approaches. Extensive test runs on the public M4 Scripted Meeting Corpus prove the great performance gain applying our suggested novel approach compared to other similar methods.
the proceedings contain 53 papers. the topics discussed include: a bipolar possibilistic representation of knowledge and preferences and its applications;statistical distribution of chemical fingerprints;fuzzy transfo...
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ISBN:
(纸本)3540325298
the proceedings contain 53 papers. the topics discussed include: a bipolar possibilistic representation of knowledge and preferences and its applications;statistical distribution of chemical fingerprints;fuzzy transformation and their applications to image compression;development of neuro-fuzzy system for image mining;a possibilistic approach to combinatorial optimization problems on fuzzy-valued matroids;possibilistic planning using description logics: a first step;a method for characterizing tractable subsets of qualitative fuzzy temporal algebrae;programming with fuzzy logic and mathematical functions;imprecise temporal interval relations;genetic programming for inductive inference of chaotic series;evaluation of particle swarm optimization effectiveness in classification;adaptive feature selection for classification of microscope images;genetic algorithm against cancer;and active learning with wavelets for microarray data.
the proceedings contain 51 papers. the topics discussed include: why fat interface characters are better e-Health advisors;virtual rapport;imitation learning and response facilitation in embodied agents;robust recogni...
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ISBN:
(纸本)3540375937
the proceedings contain 51 papers. the topics discussed include: why fat interface characters are better e-Health advisors;virtual rapport;imitation learning and response facilitation in embodied agents;robust recognition of emotion from speech;affect detection from human-computer dialogue with an intelligent tutoring system;exploitation in affect detection in improvisational E-drama;perception of blended emotions: from video corpus to expressive agent;perceiving visual emotions with speech;dealing with out of domain questions in virtual characters;architecture of a framework for generic assisting conversational agents;a comprehensive context model for multi-party interactions with virtual characters;gesture expressivity modulations in an ECA application;visual attention and eye gaze during multiparty conversations with distractions;and towards a common framework for multimodal generation: the behavior markup language.
the proceedings contain 117 papers. the topics discussed include: generalized embedded landscape and its decomposed representation;kernel matching pursuit based on immune clonal algorithm for image recognition;ensembl...
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ISBN:
(纸本)3540473319
the proceedings contain 117 papers. the topics discussed include: generalized embedded landscape and its decomposed representation;kernel matching pursuit based on immune clonal algorithm for image recognition;ensemble learning classifier system and compact ruleset;solving traveling salesman problems by artificial immune response;innate and adaptive principles for an artificial immune system;an immune mobile agent based grid intrusion detection model;a hybrid discrete particle swarm optimization for the traveling salesman problem;incremental clustering based on swarm intelligence;a new approach to solving dynamic traveling salesman problems;an accelerated micro genetic algorithm for numerical optimization;constrained optimization using organizational evolutionary algorithm;interactive genetic algorithms based on implicit knowledge model;a synergistic selection strategy in the genetic algorithms;selection enthusiasm;and suggested algorithms for blood cell images.
In this paper, we propose a building recognition algorithm for the next generation navigation system which is to use captured video from the camera equipped in moving vehicle. After masking out the road area and vehic...
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the discovery of new functionalities through the study of human physiology has contributed toward the evolution of Artificial Immune Systems. the present work investigates a new architecture through observations of na...
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We present a new distance for the contour-based shapes recognition which we called shape edit distance(SED). Unlike the traditional distance, SED takes into account the spatial deformation of shapes. To compute the sh...
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ISBN:
(纸本)0769525288
We present a new distance for the contour-based shapes recognition which we called shape edit distance(SED). Unlike the traditional distance, SED takes into account the spatial deformation of shapes. To compute the shape edit distance, we convert shapes to string sequences so that string matching techniques can be used. We pose the problem of string matching as a maximum a posteriori probability (MAP) alignment of the string sequences for shapes and compute the shape edit distance by finding the sequence of string edit operations which minimizes the cost of the path traversing the edit lattice. Experiments demonstrate the utility of the shape edit distance on a number of image retrieval and clustering problems.
Binary fingerprints are binary vectors used to represent chemical molecules by recording the presence or absence of particular substructures, such as labeled paths in the 2D graph of bonds. Complete fingerprints are o...
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