the task of nonlinear dimensionality reduction is to find meaningful low-dimensional structures hidden in high dimensional data. In this paper, an unsupervised algorithm for nonlinear dimensionality reduction called l...
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ISBN:
(纸本)9780819490261
the task of nonlinear dimensionality reduction is to find meaningful low-dimensional structures hidden in high dimensional data. In this paper, an unsupervised algorithm for nonlinear dimensionality reduction called locally linear embedding based on local correlation (LC-LLE) is presented. the LC-LLE algorithm is motivated by locally linear embedding (LLE) algorithm and correlation coefficient which usually gives the correlation between two random vectors. It is a major advantage of the LC-LLE to optimize the process of dimensionality reduction by giving more reasonable neighbor searching. Simulation studies demonstrate that the LC-LLE can give better results in dimension reduction than LLE. Experiments on face images data sets have shown the potential of LC-LLE in practical problem.
this paper first defines the elementary granulation and the granulation, and other concepts, then we could convert decision tables to granular graph, and make visual presentation of them. some relevant knowledge of gr...
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ISBN:
(纸本)9780819490261
this paper first defines the elementary granulation and the granulation, and other concepts, then we could convert decision tables to granular graph, and make visual presentation of them. some relevant knowledge of graph theory is applied to granular graph and its computing. In the paper it is shown that it is feasible and effective that granular graph is applied in describing data reduction. the method has the characteristic of simple and visual form and so on. Compared with other analysis methods, its time complexity is decreased to O(n).
Based on the theory of adaptive modulation, the compressed format is introduced in voice and data transmission, and a novel adaptive dynamic capability allocation algorithm is presented. In the given transmission syst...
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ISBN:
(纸本)9780819490261
Based on the theory of adaptive modulation, the compressed format is introduced in voice and data transmission, and a novel adaptive dynamic capability allocation algorithm is presented. In the given transmission system model, according to the channel state information (CSI) provided by channel estimating, the transmitter can adaptively select the modulation model, and shrink the voice symbol duration to improve the datathroughput of data transmission. Simulation results shows that the novel algorithm can effectively evaluate the percentage occupation of data bit in one fame, and improve the datathroughput.
As for inconsistent decision tables, this paper puts forward a reverse-order of data reduction algorithm. Compared withthe traditional methods, firstly, this algorithm makes attribute value reduction, and then makes ...
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ISBN:
(纸本)9780819490261
As for inconsistent decision tables, this paper puts forward a reverse-order of data reduction algorithm. Compared withthe traditional methods, firstly, this algorithm makes attribute value reduction, and then makes attribute reduction, which could avoid the negative factor of inconsistent individuals set. the result of attribute value reduction could be used in the proceed of attribute reduction. the time complexity of the novel algorithm is O(vertical bar C vertical bar(2)vertical bar U vertical bar(2))
In the knowledge explosion, rapid development of information age, how quickly the user or users interested in useful information for feedback to the user problem to be solved in this article. this paper based on data ...
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ISBN:
(纸本)9780819490261
In the knowledge explosion, rapid development of information age, how quickly the user or users interested in useful information for feedback to the user problem to be solved in this article. this paper based on data mining, association rules to the model and classification model a combination of electronic books on the recommendation of the user's neighboring users interested in e-books to target users. Introduced the e-book recommendation and the key technologies, system implementation algorithms, and implementation process, was proved through experiments that this system can help users quickly find the required e-books.
the rapid development of parallel computer systems, making parallel operating environment gradually mature and widely used in scientific computing and research in many fields, thus parallel database of research become...
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ISBN:
(纸本)9780819490261
the rapid development of parallel computer systems, making parallel operating environment gradually mature and widely used in scientific computing and research in many fields, thus parallel database of research becomes more and more attention and research has become an important database field of study. this network-based parallel cluster of characteristics and the current parallel computer system new trends, analyzes the network parallel clusters of workstations, parallel database data skew problem in data distribution characteristics of the environment is proposed withthe ability to adapt to the dynamic data balanced distribution programs.
the report is devoted to improvement of algorithms for separating functions by Bezier curve, which are based on the algorithm design with optimal classifying objects. the developed algorithm performs classification in...
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ISBN:
(纸本)9781467345026;9781467345002
the report is devoted to improvement of algorithms for separating functions by Bezier curve, which are based on the algorithm design with optimal classifying objects. the developed algorithm performs classification in the systems with complex order.
In order to overcome the limitations of piecewise constant phenomenon and computational burden which exist in Markov Random Field (MRF) with pair wise neighborhood and traditional learning style respectively, this pap...
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the Laplacian based matting methods are attracting a lot of attention due to their elegant and high quality closed-form solution. In this paper, we develop an alternative Laplacian construction for matting task by usi...
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ISBN:
(纸本)9780819490261
the Laplacian based matting methods are attracting a lot of attention due to their elegant and high quality closed-form solution. In this paper, we develop an alternative Laplacian construction for matting task by using local linear learning model, and naturally derive its nonlinear extension by incorporating Kernel Ridge Regression algorithm. Our Laplacian matrix construction approaches are based on the assumption that the alpha matte of each pixel point can be reconstructed from its neighbors' alpha values in each of overlapping windows. In this way the induced Laplacians can better exploit neighborhood intrinsic structure to constrain the propagation of foreground and background labels. Experimental results demonstrate the proposed approaches produce very high accuracy matte values, of which our nonlinear method even outperforms other Laplacian based matting methods on many test images.
For the current Internet information access of contradictions and difficulties, the study on the basis of the data mining technique and recommender system, propose and implement a facing internet personalization infor...
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ISBN:
(纸本)9780819490261
For the current Internet information access of contradictions and difficulties, the study on the basis of the data mining technique and recommender system, propose and implement a facing internet personalization information recommendation system based on data mining. the system is divided into offline and online, offline part to complete the from the site server log files access the appropriate online intelligent personalized recommendation service transaction mode, using the association rules mining. the online part, realizes personalized intelligence recommendation service based on the connection rule excavation. Provides the personalization information referral service method based mining association rules, And through the experiment to this system has carried on the test, has confirmed this system's feasibility and the validity.
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