We present an identity-based encryption in the relative-leakage model. In our construction, we firstly make use of a notion of new cryptographic primitive, identity-based hash proof system(IB-HPS), to construct a leak...
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ISBN:
(纸本)9781424476718
We present an identity-based encryption in the relative-leakage model. In our construction, we firstly make use of a notion of new cryptographic primitive, identity-based hash proof system(IB-HPS), to construct a leakage-resilient IB-HPS based on a simple assumption and also prove its security by the variant of dual system encryption. Then, based on our IB-HPS scheme, we construct directly an efficient leakage-resilient identity-based encryption(IBE) scheme in the model.
In this paper a Voice Activity Detection approach is proposed which applies a voting algorithm to decide on the existence of speech in audio signal. For this purpose, the proposed approach uses three different short t...
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ISBN:
(纸本)9781424442959
In this paper a Voice Activity Detection approach is proposed which applies a voting algorithm to decide on the existence of speech in audio signal. For this purpose, the proposed approach uses three different short time features along with the pattern of spectral peaks of every frame. Spectral peaks pattern is appropriate for determining vowel sounds in speech signal even in the presence of noise. Therefore this measure can be applicable in voice activity detection in which the vowels characterize the speech signal. Experiments show that incorporating this measure along with our recently proposed approach for VAD, will improve the results of the algorithm considerably while imposing little computational overhead. The proposed approach is evaluated on different datasets with various noises and SNR levels and satisfying results are achieved.
On the basis of the architecture for fast handover of hierarchical IPv6, a coordinated call admission control mechanism was presented, providing an end-to-end RSVP context transfer for real-time applications to overco...
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In this article, a novel approach is proposed to predict RNA secondary structure called RNA secondary structure prediction based on Tabu Search (RNATS). In the RNATS algorithm, two search models, intensification searc...
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In this article, a novel approach is proposed to predict RNA secondary structure called RNA secondary structure prediction based on Tabu Search (RNATS). In the RNATS algorithm, two search models, intensification search and diversification search, are developed to exploit the local regions around the current solution and explore the unvisited solution space, respectively. Simulation experiments are conducted on eight RNA sequences to show that the proposed method is feasible and effective.
We propose a novel method to improve the training efficiency and accuracy of boosted classifiers for object detection. The key step of the proposed method is a sample pre-mapping on original space by referring to the ...
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ISBN:
(纸本)9781424475421
We propose a novel method to improve the training efficiency and accuracy of boosted classifiers for object detection. The key step of the proposed method is a sample pre-mapping on original space by referring to the selected `reference sample' before feeding into weak classifiers. The reference sample corresponds to an approximation of the optimal separating hyper-plane in an implicit high dimensional space, so that the resulting classifier could achieve the performance similar to kernel method, while spending the computation cost of linear classifier in both training and detection. We employ two different non-linear mappings to verify the proposed method under boosting framework. Experimental results show that the proposed approach achieves performance comparable with the common used methods on public datasets in both pedestrian detection and car detection.
This paper presents a new method to detect pedestrian in still image using Sigma sets as image region descriptors in the boosting framework. Sigma set encodes second order statistics of an image region implicitly in t...
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ISBN:
(纸本)9781424475421
This paper presents a new method to detect pedestrian in still image using Sigma sets as image region descriptors in the boosting framework. Sigma set encodes second order statistics of an image region implicitly in the form of a point set. Compared with the covariance matrix, the traditional second order statistics based region descriptor, which requires computationally demanding operations based on Riemannian manifold, Sigma set preserves similar robustness and discriminative power more efficiently because the classification on Sigma sets can be directly performed in vector space. Experimental results on the INRIA and the Daimler Chrysler pedestrian datasets show the effectiveness and efficiency of the proposed method.
Support Vector Machine (SVM) is a classification technique of machine learning based on statistical learning theory. A quadratic optimization problem needs to be solved in the algorithm, and with the increase of the s...
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Nonsubsampled contourlet transform (NSCT) can provide flexible multiresolution, anisotropy, and directional expansion for images. Compared with the original contourlet transform, it is shift-invariant and can overcome...
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Nonsubsampled contourlet transform (NSCT) can provide flexible multiresolution, anisotropy, and directional expansion for images. Compared with the original contourlet transform, it is shift-invariant and can overcome the pseudo-gibbs phenomena around singularities. Fuzzy logic is an efficient intelligent method to handle uncertain information. In this paper, a novel image fusion algorithm is proposed based on the NSCT and fuzzy logic. Extensive experiments show that the proposed method can improve subjective and objective results compared to some other fusion approaches.
A novel objective quality for image fusion based on structural similarity and visual attention mechanism (VAM) is presented. By giving higher weight to the salient areas in the input images, the quality measure can es...
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A novel objective quality for image fusion based on structural similarity and visual attention mechanism (VAM) is presented. By giving higher weight to the salient areas in the input images, the quality measure can estimate how much visual meaningful information is preserved in the fused image. The correlation analysis between objective measure and subjective evaluation showed that our measures are more consistent with human subjective evaluation.
Randić et al. proposed a significant graphical representation for DNA sequences, which is very compact and avoids loss of information. In this paper, we build a fast algorithm for this graphical representation with ti...
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Randić et al. proposed a significant graphical representation for DNA sequences, which is very compact and avoids loss of information. In this paper, we build a fast algorithm for this graphical representation with time complexity O(n 2 ), and find another important advantage in the representation: no degeneracy. Moreover, we propose a new method to do similarity analysis of DNA sequences based on the representation. The approach adopts four elements of covariance matrix as a descriptor, and is illustrated on the first exon of beta-globin genes from 11 different species.
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