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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As an updated multiresolution geometry analysis tool, second generation bandelets can make full use of intrinsic geometry regularity of images, and then provide an optimal representation of the underlying high-dimensi...
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As an updated multiresolution geometry analysis tool, second generation bandelets can make full use of intrinsic geometry regularity of images, and then provide an optimal representation of the underlying high-dimensional functions adaptively. In this paper, a novel approach to image denoising is presented, which is based on second generation bandelets and combined with multi-level thresholding. Numerical tests applied on natural images contaminated additive Gaussian white noise show that our method provides a significant improvement both in terms of image visual fidelity and in terms of peak signal-to-noise ratio. Comparisons are made with wavelet image noise-removal results
In this paper, we offers a new algebraic point of view for DNA molecules and introduce the algebraic system by using the natural operation based on the Sigma = {A, C, G, T} . We characterize its structure by using the...
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In this paper, we offers a new algebraic point of view for DNA molecules and introduce the algebraic system by using the natural operation based on the Sigma = {A, C, G, T} . We characterize its structure by using the algebraic theory. We show that (L, oplus, otimes ) is the distribution lattice of rings with identical element. Furthermore,we generalize this result to the Wrho(V) , a set which elements simulates the DNA molecules with sticky ends, the element is called an incomplete double stranded molecules consist of mixed DNA molecules with double and single strands.
This paper investigates the spectral description methods for unweighted graph sequences and the clustering of spectral features in feature spaces. First, the corner features in 2D images of 3D polyhedral objects are r...
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This paper investigates the spectral description methods for unweighted graph sequences and the clustering of spectral features in feature spaces. First, the corner features in 2D images of 3D polyhedral objects are represented as neighborhood graphs. Adjacency matrices are constructed from Delaunay graphs of the corners. Then the eigenmodes are defined by the leading eigenvectors of the adjacency matrices. For each eigenmode, we compute the vectors of spectral properties, which include the eigenmode perimeter, eigenmode volume, Cheeger number, inter-mode adjacency matrix and inter-mode edge distance. Then these vectors are embedded into a pattern space by multidimensional scaling on the L2 norm for pairs of pattern vectors. Meanwhile, the performances of different embedding methods are compared. Finally, the clustering results by k-means method are shown
At present the most widely used technology of pinyin-Chinese character conversion combines statistics with linguistic rules. Although it basically solves such problems as long distance restriction and language recursi...
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At present the most widely used technology of pinyin-Chinese character conversion combines statistics with linguistic rules. Although it basically solves such problems as long distance restriction and language recursion phenomenon,it relies on a great deal of computation because there are too many candidate paths. This paper tries to simplify the candidate paths by using quotient space granularity computation theory, first obtains the scope of the best path in the coarser granularity world, and then uses more language rules to obtain the best path. The experiments indicate that this method can reduce the computation, speed up the conversion, and enhance the rate of accuracy by nearly 2％.
Multi-carrier (MC) CDMA technique can reduce the interference and improve the performance of the system in fading channel. But the frequency offset and multiple access interference (MAI) are obstructive to its perform...
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ISBN:
(纸本)1424408016
Multi-carrier (MC) CDMA technique can reduce the interference and improve the performance of the system in fading channel. But the frequency offset and multiple access interference (MAI) are obstructive to its performance. In this paper, combining the PIC multiuser detection and frequency offset estimation based on maximum likelihood function guard interval, we propose a joint detection which called M-ML-MPIC (Modified Maximum Likelihood Multistage Parallel Interference Canceller) to correction the frequency offset and MAI simultaneously. The numerical results of the performance analysis and comparisons of conventional schemes with the proposed method are given.
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 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
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
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