The AGM axiom system is for the belief revision (revision by a single belief), and the DP axiom system is for the iterated revision (revision by a finite sequence of beliefs). Li [1] gave an R-calculus for R-configura...
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The AGM axiom system is for the belief revision (revision by a single belief), and the DP axiom system is for the iterated revision (revision by a finite sequence of beliefs). Li [1] gave an R-calculus for R-configurations Δ|Γ,?where?Δ?is a set of atomic formulas or the negations of atomic formulas, and?Γ?is a finite set of formulas. In propositional logic programs, one R-calculus N will be given in this paper, such that N is sound and complete with respect to operator s(Δ,t), where s(Δ,t)is a pseudo-theory minimal change of t by?Δ.
The AGM axiom system is for the belief revision(revision by a single belief), and the DP axiom system is for the iterated revision(revision by a finite sequence of beliefs). Li[1] gave an R-calculus for R-configuratio...
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The AGM axiom system is for the belief revision(revision by a single belief), and the DP axiom system is for the iterated revision(revision by a finite sequence of beliefs). Li[1] gave an R-calculus for R-configurations |Γ, where is a set of atomic formulas or the negations of atomic formulas, and Γ is a finite set of formulas. The set-based minimal change and inference-based minimal change are distinguished in this paper, and two R- calculi V and N are given so that V and N are sound and complete with respect to the set-based minimal change and the inference-based minimal change, respectively.
The AGM axiom system is for the belief revision (revision by a single belief),and the DP axiom system is for the iterated revision (revision by a finite sequence of beliefs).Li [1] gave an R-calculus for R-configurati...
The AGM axiom system is for the belief revision (revision by a single belief),and the DP axiom system is for the iterated revision (revision by a finite sequence of beliefs).Li [1] gave an R-calculus for R-configurations Δ| Γ,where Δ is a set of atomic formulas or the negations of atomic formulas,and Γ is a finite set of *** propositional logic programs,one R-calculus N will be given in this paper,such that N is sound and complete with respect to operator s (Δ,t),where s (Δ,t)is a pseudo-theory minimal change of t by Δ .
We propose a novel salient region detection algorithm by texture-suppressed background contrast. We employ a structure extraction algorithm to suppress the small scale textures which are supposed to be not sensitive f...
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ISBN:
(纸本)9781479923427
We propose a novel salient region detection algorithm by texture-suppressed background contrast. We employ a structure extraction algorithm to suppress the small scale textures which are supposed to be not sensitive for human vision system. Then the texture-suppressed image is segmented into homogeneous superpixels. Motivated by the observation that the spatial distribution of the background has a high probability on the boundaries of images, we estimate the background as superpixels near the image boundaries. The saliency of each superpixel is then defined as the summation of its k minimum color distances to the estimated background super-pixels. Finally a post-processing process involving spatial and color adjacency is employed to generate a per-pixel saliency map. Experimental results demonstrate that the proposed method outperforms the state-of-the-art approaches.
Canonical correlation analysis (CCA) based methods achieve great success for pose alignment. However, CCA has limitations as a linear and global algorithm. Although some variants have been proposed to overcome the lim...
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ISBN:
(纸本)9781479923427
Canonical correlation analysis (CCA) based methods achieve great success for pose alignment. However, CCA has limitations as a linear and global algorithm. Although some variants have been proposed to overcome the limitations, neither of them achieves locality and nonlinearity at the same time. In this paper, we propose a novel algorithm called Instance-Specific Canonical Correlation Analysis (ISCCA), which approximates the nonlinear data by computing the instance specific projections along the smooth curve of the manifold. Based on the framework of least squares regression, CCA is extended to the instance-specific case which obtains a set of locally-linear smooth but globally-nonlinear transformations. The optimization problem is proved to be convex and could be solved efficiently by alternating optimization. And the globally optimal solutions could be achieved with theoretical guarantee. Experimental results for pose alignment demonstrate the effectiveness of our proposed method.
In this paper, we propose a unified framework to perform progressive image restoration based on hybrid graph Laplacian regularized regression. We first construct a multi-scale representation of the target image by Lap...
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ISBN:
(纸本)9781467360371
In this paper, we propose a unified framework to perform progressive image restoration based on hybrid graph Laplacian regularized regression. We first construct a multi-scale representation of the target image by Laplacian pyramid, then progressively recover the degraded image in the scale space from coarse to fine so that the sharp edges and texture can be eventually recovered. On one hand, within each scale, a graph Laplacian regularization model represented by implicit kernel is learned which simultaneously minimizes the least square error on the measured samples and preserves the geometrical structure of the image data space by exploring non-local self-similarity. In this procedure, the intrinsic manifold structure is considered by using both measured and unmeasured samples. On the other hand, between two scales, the proposed model is extended to the parametric manner through explicit kernel mapping to model the inter-scale correlation, in which the local structure regularity is learned and propagated from coarser to finer scales. Experimental results on benchmark test images demonstrate that the proposed method achieves better performance than state-of-the-art image restoration algorithms.
With the development of social media, online documents such as the comments of news articles, blogs and microblogs have received great attention, and the sentiment analysis via online documents has become one popular ...
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With the development of social media, online documents such as the comments of news articles, blogs and microblogs have received great attention, and the sentiment analysis via online documents has become one popular research area. This paper focuses on establishing user sentimental space obtained from online documents to analyze user's personalized sentiments, which aims to identify user's sentimental feature. Affection, sentiment and attributes of user are firstly employed to build user's personalized sentimental space. Then, the general constrains of user sentiments space are proposed to calculate user's personality. And finally we seek out sentimental leaders who paly pivotal role in the leading public opinions. Our works can give some suggestions for decision makers when urgent event happen.
Eukaryotic mRNAs consist of two forms of transcripts:poly(A)+ and poly(A),based on the presence or absence of poly(A) tails at the 3 ***(A)+ mRNAs are mainly protein coding mRNAs,whereas the functions of poly(A) mRNA ...
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Eukaryotic mRNAs consist of two forms of transcripts:poly(A)+ and poly(A),based on the presence or absence of poly(A) tails at the 3 ***(A)+ mRNAs are mainly protein coding mRNAs,whereas the functions of poly(A) mRNA are largely *** studies have shown that a significant proportion of gene transcripts are poly(A) or bimorphic(containing both poly(A)+ and poly(A) transcripts).We compared the expression levels of poly(A) and poly(A)+ RNA mRNAs in normal and cancer cell *** also investigated the potential functions of these RNA transcripts using an integrative workflow to explore poly(A)+ and poly(A) transcriptome sequences between a normal human mammary gland cell line(HMEC) and a breast cancer cell line(MCF-7),as well as between a normal human lung cell line(NHLF) and a lung cancer cell line(A549).The data showed that normal and cancer cell lines differentially express these two forms of *** ontology(GO) annotation analyses hinted at the functions of these two groups of transcripts and grouped the differentially expressed genes according to the form of their *** data showed that cell cycle-,apoptosis-,and cell death-related functions corresponded to most of the differentially expressed genes in these two forms of transcripts,which were also associated with the ***,translational elongation and translation functions were also found for the poly(A) protein-coding genes in cancer cell *** demonstrate that poly(A) transcripts play an important role in cancer development.
In this paper, we propose a novel model of three points named TP for location estimation in wireless sensor networks(WSNs) with random deployment of anchor nodes. In this model, we select three anchor nodes which have...
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In this paper, we propose a novel model of three points named TP for location estimation in wireless sensor networks(WSNs) with random deployment of anchor nodes. In this model, we select three anchor nodes which have the strongest received signal strength(RSS) for location estimation, the centroid algorithm and the method of intersection of judgment are used to estimate the location of unknown nodes. To further exploit three nearest intersection points in TP, the enhanced TP(ETP) is proposed. The simulation results show that the proposed models outperform MMSE and BML in terms of the localization accuracy for WSNs. Moreover, the localization accuracy of the proposed models in scenario 2 with random deployment of anchor nodes are better than in scenario 1 with planned deployment of anchor nodes. Additionally, compared with MMSE and BML, ETP and TP can reduce the environmental impact on location estimation.
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