An ideal knowledge flow network passes right knowledge to the right person at the right time. Trust between knowledge nodes influences the efficiency of knowledge interchange in an organization. This paper presents a ...
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We propose two geometric structure based approaches GGCI (global geometric clustering for image) and GSIM (geometric structure based image matching) for image clustering and image matching, respectively. For face imag...
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ISBN:
(纸本)9781424404759
We propose two geometric structure based approaches GGCI (global geometric clustering for image) and GSIM (geometric structure based image matching) for image clustering and image matching, respectively. For face images or object images taken with varying factors, the GGCI approach learns the global geometric structure of images space and clusters images based on geodesic distance instead of Euclidean distance and the extended nearest neighbor approach. The GSIM approach uses the minimal Euclidean distance between parts of image and the pattern and its variations as matching criteria and threshold strategy for image matching. We demonstrate experimentally that the GGCI approach achieves lower error rates and the GSIM approach brings down the sensitivity of gray values to change in radiometry and reduces multi local extrema to some extent.
Bilevel decision addresses the problem in which two levels of decision makers, each tries to optimize their individual objectives under constraints, act and react in an uncooperative, sequential manner. Such a bilevel...
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This paper proposes a multi-feature constrained method (MFC) to acquire co-referent relations from large-scale Chinese corpora. The MFC has two phases: candidate relations extraction and verification. The extraction p...
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intelligent tutoring systems have being extensively researched, and are viewed as cost-effective alternatives to traditional education. However, it has been long recognized that development of such systems is lab.r-in...
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This paper proposed a practical approach to personalized tutoring planning by exploiting existing tutoring resources (e.g., a book, a courseware). More exactly, it does not build an instructional course from scratch -...
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In this paper, a novel supervised information feature compression algorithm based on divergence is set up. Firstly, according to the information theory, the concept and its properties of the divergence, i.e. average s...
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Default description logics are extensions of description logics by Reiter's default logic in order to represent and reason about non-monotonic knowledge. A default says that if its prerequisite is provable, and th...
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ISBN:
(纸本)9781424404759
Default description logics are extensions of description logics by Reiter's default logic in order to represent and reason about non-monotonic knowledge. A default says that if its prerequisite is provable, and the negation of its justification is not provable, then its consequence is provable. As a method of using defaults in a reverse way, reversing inference rules are introduced to default description logics. For a default, its reversing inference rule says if the negation of the consequence of the default is provable, then the negation of the prerequisite or the negation of the justification of the default is provable. Then a default description theory is extended to an extended default description theory with reversing inference rules and the definition of extensions of the extended default description theory is given. A default description theory can infer statements by using its defaults. However, an extended default description theory can infer statements not only by using its defaults, but by using its reversing inference rules. The relations between default description theories and their extended default description theories are discussed. For a default description theory without extensions, its extended default description theory may have extensions.
Web services composition techniques are gaining momentum as the opportunity to establish reusable and versatile inter-op er ability applications. Many researchers propose their composition approach based on planning t...
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Granular computing as an enabling technology and as such it cuts across a broad spectrum of disciplines and becomes important to many areas of applications. In this paper, the notions of tolerance relation based infor...
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