This paper studies the problem of semi-supervised learning from the vector field perspective. Many of the existing work use the graph Laplacian to ensure the smoothness of the prediction function on the data manifold....
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ISBN:
(纸本)9781618395993
This paper studies the problem of semi-supervised learning from the vector field perspective. Many of the existing work use the graph Laplacian to ensure the smoothness of the prediction function on the data manifold. However, beyond smoothness, it is suggested by recent theoretical work that we should ensure second order smoothness for achieving faster rates of convergence for semisupervised regression problems. To achieve this goal, we show that the second order smoothness measures the linearity of the function, and the gradient field of a linear function has to be a parallel vector field. Consequently, we propose to find a function which minimizes the empirical error, and simultaneously requires its gradient field to be as parallel as possible. We give a continuous objective function on the manifold and discuss how to discretize it by using random points. The discretized optimization problem turns out to be a sparse linear system which can be solved very efficiently. The experimental results have demonstrated the effectiveness of our proposed approach.
In this paper, we propose a new scheme for marker-driven free form global mesh deformation without manually establishing a skeleton orfreeform deformation domain beforehand. It allows a user to deform a given mesh int...
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Automatic image annotation is a very essential technology cause the huge development of the multimedia and Internet. Recently, many approaches change multi-lab.l annotation problem to single-lab.l annotation problem w...
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Automatic image annotation is a very essential technology cause the huge development of the multimedia and Internet. Recently, many approaches change multi-lab.l annotation problem to single-lab.l annotation problem while they are always time-consuming and useless to some extent. In this paper, we propose an enhanced region semantic analysis algorithm for scenery images annotation. It contains segmentation, clustering and mapping processes. We use the classical segmentation algorithm: normalized cuts and cluster patches with feature weight selection. Finally we relate cluster centers and keywords using statistical method. Experimental results show that our algorithm achieves promising performance with the scenery images and outperforms region semantic analysis algorithm on the same benchmark datasets.
We report our work on evaluating performance of several MPI Allgather algorithms on Fast Ethernet. These algorithms are ring, recursive doubling, Bruck, and neighbor exchange. The first three algorithms are widely use...
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ISBN:
(纸本)0769524869
We report our work on evaluating performance of several MPI Allgather algorithms on Fast Ethernet. These algorithms are ring, recursive doubling, Bruck, and neighbor exchange. The first three algorithms are widely used today. The neighbor exchange algorithm which was recently proposed by the authors incorporates pair-wise exchange, and is expected to perform better with certain configurations, mainly when using TCP/IP over Ethernet. We tested the four algorithms on terascale Linux clusters DeepComp 6800 and DAWNING 4000A using TCP/IP over Fast Ethernet. Results show that our neighbor exchange algorithm performs the best for long messages, the ring algorithm performs the best for medium-size messages and the recursive doubling algorithm performs the best for short messages.
Depth of field (DoF) is a depth range outside of which objects are blurred. DoF has been widely used in photography and films by artists and is expected to be applied to realistic image rendering and virtual reality a...
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Considering the timed properties between the interactions of Web services, we model the Web services with timed properties formally and propose a method for detecting mismatch of time-aware Web services based on Satis...
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Moving Target Defense (MTD) is a new technology to defend against the false data injection attack (FDIA) on distribution systemstate estimation (DSSE). It works by proactively perturbing the branch reactance. However...
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Utility services provided by cloud computing rely on virtual customer communities forming spontaneously and evolving continuously. Clarifying the explicit boundaries of these communities is thus essential to the quali...
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In order to solve the sparse initial information problem when the topic model was established ever before, this paper establishes the Wikipedia based news event knowledge base. Referring to this knowledge base, we cal...
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In this paper, we introduce a novel Local Gabor Binary Pattern Random Subspace Method (LGBPRSM) for wearing-glasses face recognition. It extracts the discriminating features from facial space based on local-feature me...
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