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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A new algorithm for Euclidean distance transform is proposed in this paper. It propagates from the boundary to the inner of object layer by layer, like the inverse propagation of water wave. It can be applied in every...
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Knowledge engineering stems from E. A. Figenbaum＇s proposal in 1977, but it will enter a new decade with the new challenges. This paper first summarizes three knowledge engineering experiments we have undertaken to s...
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Knowledge engineering stems from E. A. Figenbaum＇s proposal in 1977, but it will enter a new decade with the new challenges. This paper first summarizes three knowledge engineering experiments we have undertaken to show possibility of separating knowledge development from intelligent software development. We call it the ICAX mode of intelligent application software generation. The key of this mode is to generate knowledge base, which is the source of intelligence of ICAX software, independently and parallel to intelligent software development. That gives birth to a new and more general concept ＂knowware＂. Knowware is a commercialized knowledge module with documentation and intellectual property, which is computer operable, but free of any built-in control mechanism, meeting some industrial standards and embeddable in software/hardware. The process of development, application and management of knowware is called knowware engineering. Two different knowware life cycle models are discussed： the furnace model and the crystallization model. Knowledge middleware is a class of software functioning in all aspects of knowware life cycle models. Finally, this paper also presents some examples of building knowware in the domain of information system engineering.
Effective document classification is a long-pursued goal in knowledge management. This paper proposes a novel hybrid approach of semantic representation and statistical measurements. Document is divided into content s...
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A knowledge flow is invisible but it plays an important role in ordering knowledge exchange in teamwork. It can help achieve effective team knowledge management by modeling, optimizing, monitoring and controlling the ...
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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.
In recent years, semantic search has become one hot motivation of the semantic web. In this paper, we propose a semantic-based resource management and search architecture and its implementation in research community, ...
In recent years, semantic search has become one hot motivation of the semantic web. In this paper, we propose a semantic-based resource management and search architecture and its implementation in research community, including most of the research relevant resources. We have built two authoring tools respectively for concepts and instances. With the authoring tools, semantic search portal is provided, which has three different interfaces, respectively for retrieval of concept , instance and semantic relationship. Compared with the traditional search methods, semantic search methodology not only gives us more interesting and satisfying search results, whose precision is higher than those of traditional ones only based on keywords, but also displays the results in a more structural and semantic way.
Traditionally, how to bridge the gap between the low level visual features and the high level semantic concepts has been a tough task for the researchers. In this paper, we propose a novel plausible model, namely glob...
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ISBN:
(纸本)1424404754;9781424404759
Traditionally, how to bridge the gap between the low level visual features and the high level semantic concepts has been a tough task for the researchers. In this paper, we propose a novel plausible model, namely globally connected and locally autonomic Bayesian network (GCLABN), to model the process of visual perception. The new model takes advantage of both the low level visual features, such as colors, textures and shapes, of the target object and the interrelationship between the known objects, and integrates them into a Bayesian framework, which possesses both firm theoretical foundation and wide practical applications. According to our meticulous analysis, in many aspects, the novel model theoretically outperforms the original Bayesian network, which has been successfully applied to many related areas, such as object detection, scene analysis and other similar tasks. Finally, although the GCLABN is designed for the visual perception, it also has great potential to be applied to other areas.
3D affine moment invariants are derived in a convenient way in this paper. The property of volume of a tetrahedron is studied first under affine transformation. 3D affine moment invariants are constructed then by the ...
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ISBN:
(纸本)0769525210
3D affine moment invariants are derived in a convenient way in this paper. The property of volume of a tetrahedron is studied first under affine transformation. 3D affine moment invariants are constructed then by the multiple integrals of the combinations of this kind of geometric primitive. Numerical experiments of deformed models are conducted to certificate the invariance of the new 3D affine moment invariants given in this paper
3D surface moments and surface moment invariants under similarity transformation are defined in this paper. This variation of traditional moments and moment invariants can handle the situation where the object is uncl...
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ISBN:
(纸本)0769525210
3D surface moments and surface moment invariants under similarity transformation are defined in this paper. This variation of traditional moments and moment invariants can handle the situation where the object is unclosed. 3D surface moment invariants can be used as shape descriptors for the representation of free-form surfaces. Some explicit surface moment invariants are illustrated in the experiment to describe the partial meaningful polygonal patches
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