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Study of software fault tolerance system evaluation strategy

Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University 2008年第10期33卷 1018-1021页

作者： Liu, Xin Yin, Qian Guo, Ping Lab. of Pattern Recognition and Intelligent System Beijing Normal University 19 Xinjiekou Beijing 100875 China State Key Laboratory of Computer Science Institute of Software CAS 4 Zhongguancun Beijing 100080 China

Software fault tolerance technique is used to ensure high reliability. In order to evaluate the quality of fault-tolerant systems, expected execution time and cost must be considered. A new evaluation strategy is proposed to evaluate, evaluating the system with three groups of quality factors, which is the capability, the time and the cost. By using them, the system's integrative quality factor can be calculated. When applying this strategy, we compare the quality of software systems which is consist of different fault-tolerant components. The results can be used to improve fault-tolerant system. To achieve the required optimal result, several optimization schemes are given to meet different project demands.

关键词： Quality control

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Comparing and integrating alignment template and standard phrase-based statistical machine translation

Comparing and integrating alignment template and standard ph...

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8th International Conference on Intelligent Text Processing and Computational Linguistics

作者： Xu, Lin Cao, Xiaoguang Zhang, Bufeng Li, Mu Lab. of Pattern Recognition and Intelligent System Image Processing Center BeiHang University China Al Lab. Computer Science and Technology Tianjing University China Microsoft Research Asia China

ISBN: (纸本)9783540709381

In statistical machine translation (SMT) research, phrase-based methods have been receiving more interest in recent years. In this paper, we first give a brief survey of phrase-based SMT framework, and then make detailed comparisons of two typical implementations: alignment template approach and standard phrase-based approach. At last, we propose an improved model to integrate alignment template into standard phrase-based SMT as a new feature in a log-linear model. Experimental results show that our method outperforms the baseline method.

关键词： Natural language processing systems

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Clustering Web images with multi-modal features

Clustering Web images with multi-modal features

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15th ACM International Conference on Multimedia, MM'07

作者： Rege, Manjeet Dong, Ming Hua, Jing Machine Vision Pattern Recognition Lab. Department of Computer Science Wayne State University Detroit MI 48202 United States Graphics and Imaging Lab. Department of Computer Science Wayne State University Detroit MI 48202 United States

ISBN: (纸本)9781595937025

Web image clustering has drawn significant attention in the research community recently. However, not much work has been done in using multi-modal information for clustering Web images. In this paper, we address the problem of Web image clustering by simultaneous integration of visual and textual features from a graph partitioning perspective. In particular, we modelled visual features, images, and words from the surrounding text of the images using a tripartite graph. This graph is actually considered as a fusion of two bipartite graphs that are partitioned simultaneously by the proposed Consistent Isoperimetric High-order Co-clustering(CIHC) framework. Although a similar approach has been adopted before, the main contribution of this work lies in the computational efficiency, quality in Web image clustering and scalab.lity to large image repositories that CIHC is able to achieve. We demonstrate this through experimental results performed on real Web images. Copyright 2007 ACM.

关键词： Image analysis

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Speech emotion recognition using an enhanced co-training algorithm

Speech emotion recognition using an enhanced co-training alg...

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IEEE International Conference onMultimedia and Expo, ICME 2007

作者： Jia, Liu Chun, Chen Jiajun, Bu Mingyu, You Jianhua, Tao College of Computer Science Zhejiang University Hangzhou 310027 China National Lab. of Pattern Recognition Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)1424410177

In previous systems of speech emotion recognition, supervised learning are frequently employed to train classifiers on lots of lab.led examples. However, the lab.ling of abundant data requires much time and many human efforts. This paper presents an enhanced co-training algorithm to utilize a large amount of unlab.led speech utterances for building a semisupervised learning system. It uses two conditionally independent attribute views(i.e. temporal features and statistic features) of unlab.led examples to augment a much smaller set of lab.led examples. Our experimental results demonstrate that compared with the method based on the supervised training, the proposed system makes 9.0% absolute improvement on female model and 7.4% on male model in terms of average accuracy. Moreover, the enhanced co-training algorithm achieves comparable performance to the co-training prototype, while it can reduce the classification noise which is produced by error lab.ling in the process of semi-supervised learning. © 2007 IEEE.

关键词： Learning algorithms

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Deriving semantics for image clustering from accumulated user feedbacks

Deriving semantics for image clustering from accumulated use...

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15th ACM International Conference on Multimedia, MM'07

作者： Chen, Yanhua Rege, Manjeet Dong, Ming Fotouhi, Farshad Machine Vision Pattern Recognition Lab. Department of Computer Science Wayne State University Detroit MI 48202 United States Database and Multimedia Systems Group Department of Computer Science Wayne State University Detroit MI 48202 United States

ISBN: (纸本)9781595937025

Image clustering solely based on visual features without any knowledge or background information suffers from the problem of semantic gap. In this paper, we propose SS-NMF: a semi-supervised non-negative matrix factorization framework for image clustering. Accumulated relevance feedback in a CBIR system is treated as user provided supervision for guiding the image clustering. We consider the set of positive images in the feedback as constraints on the clustering specifying that the images "must" be clustered together. Similarly, negative images provide constraints specifying that they "cannot" be clustered along with the positive images. Through an iterative algorithm, we perform symmetric tri-factorization of the image-image similarity matrix to infer the clustering. Theoretically, we prove the correctness of SS-NMF by showing that the algorithm is guaranteed to converge. Through experiments conducted on general purpose image datasets, we demonstrate the superior performance of SS-NMF for clustering images effectively. Copyright 2007 ACM.

关键词： Image analysis

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Modified quantization index modulation watermarking adaptive to contrast masking thresholds

Modified quantization index modulation watermarking adaptive...

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1st International Conference on Communications and Networking in China, ChinaCom '06

作者： Guoxi, Wang Lihong, Ma. Kang, Cai Hanqing, Lu GD Key Lab. of Computer Network Dept.of Electronic Engineering South China Univ. of Tech. Guangzhou 510641 China National Lab. of Pattern Recognition Inst. Automation China Academy of Science Beijing 100080 China Guangdong Telecom.

ISBN: (纸本)1424404630

In this paper, we suggest an adaptive watermarking method to improve both transparence and robustness of quantization index modulation (QIM) scheme. Instead of a fixed quantization step size, we apply a step size adapted to image content in each 8×8 block to make a balance of the robustness extraction and the transparence of embedding. The modified steps are determined by the contrast masking thresholds of Watson's perceptual model. From normalized cross correlation between the original watermark and the detected watermark, we observe that it is robust to attacks of additive white Gaussian noise, salt & pepper noise, JPEG compression than the original QIM. © 2006 IEEE.

关键词： Digital watermarking

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Reduced memory zerotree envelop coding for wavelet image

Reduced memory zerotree envelop coding for wavelet image

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MIPPR 2007: Automatic Target recognition and Image Analysis;and Multispectral Image Acquisition

作者： Wentao, Wang Guoyou, Wang Jianguo, Liu State Key Lab. for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China College of Computer Science South-Central University for Nationalities 708 Minyuan Road Wuhan 430074 China

ISBN: (纸本)9780819469502

In this paper, we propose a new image codec, which called embedded zerotree wavelet coefficients envelop coding (EZWCEC). The coefficients envelop is characterized by describing the global tendency of the significant wavelet coefficients. Based on the empirical analysis and experimental results, our EZWCEC algorithm restores the trend of the significant wavelet coefficients and estimates the magnitude of some insignificant coefficients on the decoder. Unlike other zerotree coding algorithms such as Said and Pearlman's SPIHT using three lists, EZWCEC only uses two lists during encoding and decoding. So the memory requirement for the hardware implementation is reduced significantly. Although PSNR values for EZWCEC are lower than SPIHT's and JPEG2000's, our experiment results have shown that EZWCEC can dramatically improve the visual quality of reconstructed at low bit rates (e.g., below 0.1bpp).

关键词： Image coding

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Color image filtering based on impulsive noise detection

Color image filtering based on impulsive noise detection

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MIPPR 2007: Automatic Target recognition and Image Analysis;and Multispectral Image Acquisition

作者： Li, Dehua Jin, Lianghai Yao, Xingzhong Xiong, Caiquan State Key Lab. for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Second Artillery Command College Wuhan 430012 China School of Computer Science Hubei University of Technology Wuhan 430068 China

ISBN: (纸本)9780819469502

This paper introduces a new class of switching vector median filter. The proposed algorithm first uses four directional masks to analyze the color difference between the central pixel and its neighborhood pixels in the RGB color space and classify each color pixel into noisy pixel or noise-free one, and then employs the standard vector median filtering operations in the detected noisy locations to restore the corrupted pixels and leave the noise-free ones unchanged. The simulation results show that the proposed method excellently suppresses impulsive noise as well as preserving the image details well, and significantly outperforms the existing vector filtering solutions in terms of both the objective measures and the perceptual visual quality.

关键词： Color image processing

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An ontological service oriented and web searching mechanism in distributed e-learning repositories

An ontological service oriented and web searching mechanism ...

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6th International Conference on Advanced Learning Technologies, ICALT 2006

作者： Votis, Konstantinos Alexakos, Christos Giotopoulos, Kostas Likothanassis, Spiridon Pattern Recognition Lab. Dept. of Computer Engineering and Informatics University of Patras Greece

ISBN: (纸本)0769526322

The great heterogeneity of web based Learning systems storing and providing digital e-learning data requires the introduction of interoperability aspects in order to resolve integration problems in a flexible and dynamic way. Learning Objects developed and stored in many different places on the web have a tremendous potential to benefit e-learning in particular and education in general. So the distributed e-learning data integration is significant for the enforcement of novel searching mechanisms in distributed e-learning repositories Our approach introduces an advanced search mechanism which initializes a semantic model representing the digital content stored in distributed e-learning servers, through the use of ontologies In order to retrieve useful content to be added to the learning environment while bypassing compatibility problems between different ontological representations of the same domain, we will use a mixed approach constituting both keywords and ontologies Searching tasks are carried out in the metadata level, where information concerning web digital content is published, managed and stored in the form of a scalab.e description of knowledge domains. © 2006 IEEE.

关键词： Ontology

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Region-based image annotation using asymmetrical support vector machine-based multiple-instance learning

Region-based image annotation using asymmetrical support vec...

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2006 IEEE computer Society Conference on computer vision and pattern recognition, CVPR 2006

作者： Yang, Changbo Dong, Ming Hua, Jing Machine Vision and Pattern Recognition Lab. Department of Computer Science Wayne State University Detroit MI 48202 Department of Computer Science Wayne State University Detroit MI 48202

ISBN: (纸本)0769525970

In region-based image annotation, keywords are usually associated with images instead of individual regions in the training data set. This poses a major challenge for any learning strategy. In this paper, we formulate image annotation as a supervised learning problem under Multiple-Instance Learning (MIL) framework. We present a novel Asymmetrical Support Vector Machine-based MIL algorithm (ASVM-MIL), which extends the conventional Support Vector Machine (SVM) to the MIL setting by introducing asymmetrical loss functions for false positives and false negatives. The proposed ASVM-MIL algorithm is evaluated on both image annotation data sets and the benchmark MUSK data sets. © 2006 IEEE.

关键词： Image processing

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