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Object-level saliency detection combining the contrast and spatial compactness hypothesis

Object-level saliency detection combining the contrast and s...

引用

2013 International Conference on Image processing, Computer Vision, and Pattern Recognition, IPCV 2013, at WORLDCOMP 2013

作者： Zhang, Chi Wang, Weiqiang Liu, Xiaoqian School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China Key Lab of intelligence information Processing Institute of Computing Technology CAS Beijing China

ISBN: (纸本)1601322526

Object-level saliency detection is an important branch of visual saliency. Most previous methods are based on the contrast hypothesis which regards the regions presenting high contrast in a certain context as salient. Although the contrast hypothesis is valid in many cases, it can’t handle some difficult cases, especially when the salient object is large. To make up for the deficiencies of contrast hypothesis, we incorporate a novel spatial compactness hypothesis which can effectively handle those tough cases. In addition, we propose a unified framework which integrates multiple saliency maps generated on different feature maps built on different hypotheses. Our algorithm can automatically select saliency maps of high quality according to the quality evaluation score defined in this paper. The experimental results demonstrate that each key component of our method contributes to the final performance and the full version of our method outperforms all state-of-the-art methods on the most popular dataset. © 2013 CSREA Press. All rights reserved.

关键词： Object detection

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Bilingual lexical cohesion trigger model for document-level machine translation

Bilingual lexical cohesion trigger model for document-level ...

引用

51st Annual Meeting of the Association for Computational Linguistics, ACL 2013

作者： Ben, Guosheng Xiong, Deyi Teng, Zhiyang Lü, Yajuan Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China School of Computer Science and Technology Soochow University China Centre for Next Generation Localisation Dublin City University Ireland

ISBN: (纸本)9781937284510

In this paper, we propose a bilingual lexical cohesion trigger model to capture lexical cohesion for document-level machine translation. We integrate the model into hierarchical phrase-based machine translation and achieve an absolute improvement of 0.85 BLEU points on average over the baseline on NIST Chinese-English test sets. © 2013 Association for Computational Linguistics.

关键词： Machine translation

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Triplex transfer learning: Exploiting both shared and distinct concepts for text classification 13

Triplex transfer learning: Exploiting both shared and distin...

引用

6th ACM International Conference on Web Search and Data Mining, WSDM 2013

作者： Zhuang, Fuzhen Luo, Ping Du, Changying He, Qing Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Hewlett-Packard Labs. Beijing China Graduate University Chinese Academy of Sciences China

ISBN: (纸本)9781450318693

Transfer learning focuses on the learning scenarios when the test data from target domains and the training data from source domains are drawn from similar but different data distribution with respect to the raw features. Some recent studies argued that the high-level concepts (e.g. word clusters) can help model the data distribution difference, and thus are more appropriate for classification. Specifically, these methods assume that all the data domains have the same set of shared concepts, which are used as the bridge for knowledge transfer. However, besides these shared concepts each domain may have its own distinct concepts. To address this point, we propose a general transfer learning framework based on non-negative matrix tri-factorization which allows to explore both shared and distinct concepts among all the domains simultaneously. Since this model provides more flexibility in fitting the data it may lead to better classification accuracy. To solve the proposed optimization problem we develop an iterative algorithm and also theoretically analyze its convergence. Finally, extensive experiments show the significant superiority of our model over the baseline methods. In particular, we show that our method works much better in the more challenging tasks when distinct concepts may exist. © 2013 ACM.

关键词： Iterative methods

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Stem translation with affix-based rule selection for agglutinative languages

Stem translation with affix-based rule selection for aggluti...

引用

51st Annual Meeting of the Association for Computational Linguistics, ACL 2013

作者： Wangt, Zhiyang Lü, Yajuan Sun, Meng Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing 100190 China Centre for Next Generation Localisation Faculty of Engineering and Computing Dublin City University Ireland

ISBN: (纸本)9781937284510

Current translation models are mainly designed for languages with limited morphology, which are not readily applicable to agglutinative languages as the difference in the way lexical forms are generated. In this paper, we propose a novel approach for translating agglutinative languages by treating stems and affixes differently. We employ stem as the atomic translation unit to alleviate data spare-ness. In addition, we associate each stem-granularity translation rule with a distribution of related affixes, and select desirable rules according to the similarity of their affix distributions with given spans to be translated. Experimental results show that our approach significantly improves the translation performance on tasks of translating from three Turkic languages to Chinese. © 2013 Association for Computational Linguistics.

关键词： Translation (languages)

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Cascaded Shape Space Pruning for Robust Facial Landmark Detection

Cascaded Shape Space Pruning for Robust Facial Landmark Dete...

引用

International Conference on Computer Vision (ICCV)

作者： Xiaowei Zhao Shiguang Shan Xiujuan Chai Xilin Chen Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology Beijing China

ISBN: (纸本)9781479928415

In this paper, we propose a novel cascaded face shape space pruning algorithm for robust facial landmark detection. Through progressively excluding the incorrect candidate shapes, our algorithm can accurately and efficiently achieve the globally optimal shape configuration. Specifically, individual landmark detectors are firstly applied to eliminate wrong candidates for each landmark. Then, the candidate shape space is further pruned by jointly removing incorrect shape configurations. To achieve this purpose, a discriminative structure classifier is designed to assess the candidate shape configurations. Based on the learned discriminative structure classifier, an efficient shape space pruning strategy is proposed to quickly reject most incorrect candidate shapes while preserve the true shape. The proposed algorithm is carefully evaluated on a large set of real world face images. In addition, comparison results on the publicly availab.e BioID and LFW face databases demonstrate that our algorithm outperforms some state-of-the-art algorithms.

关键词： Shape Face Detectors Optimization Databases Robustness Detection algorithms

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A unified approach of object-level saliency detection in images and videos

引用

2013 International Conference on Advances in Materials Science and Manufacturing technology, AMSMT 2013

作者： Zhang, Chi Wang, Wei Qiang School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing 100190 China Key Lab of intelligence information Processing Institute of Computing Technology CAS Beijing 100190 China

ISBN: (纸本)9783037857984

Object-level saliency detection is an important branch of visual saliency. In this paper, we propose a novel method which can conduct object-level saliency detection in both images and videos in a unified way. We employ a more effective spatial compactness assumption to measure saliency instead of the popular contrast assumption. In addition, we present a combination framework which integrates multiple saliency maps generated in different feature maps. The proposed algorithm can automatically select saliency maps of high quality according to the quality evaluation score we define. The experimental results demonstrate that the proposed method outperforms all state-of-the-art methods on both of the datasets of still images and video sequences. © (2013) Trans Tech Publications, Switzerland.

关键词： Object detection

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Numerical analysis of back berm on road engineering with FEM

Numerical analysis of back berm on road engineering with FEM

引用

2013 4th International Conference on Material and Manufacturing technology, ICMMT 2013

作者： Liu, Jie Qun Wang, Dong Lin Department of Computer Science and Technology Key Lab of Network and Intelligent Information Processing Hefei University Hefei China School of Civil Engineering Anhui Institute of Architecture and Industry Hefei China

ISBN: (纸本)9783037857526

Based on nonlinear finite element method (FEM), the effect of back berm has been systematically studied. It is found that the lateral displacement of embankment could be reduced by back berm effectively, and the stability of embankment increased rapidly with the width of back berm enlarged. There is a critical value of width of back berm, that the stability of embankment is no more increased with the width of back berm enlarged than critical value. © (2013) Trans Tech Publications, Switzerland.

关键词： Safety factor

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Uncertain subgraph query processing over uncertain graphs

Uncertain subgraph query processing over uncertain graphs

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15th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2013

作者： Ruan, Wenjing Wang, Chaokun Han, Lu Peng, Zhuo Bai, Yiyuan School of Software Tsinghua University Beijing 100084 China Tsinghua National Laboratory for Information Science and Technology Tsinghua University China Department of Computer Science and Technology Tsinghua University China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China

ISBN: (纸本)9783642374005

In some real-world applications, data cannot be measured accurately. Uncertain graphs emerge when this kind of data is modeled by graph data structures. When the graph database is uncertain, our query is highly possibly uncertain too. All of the prior works do not consider the uncertainty of the query. In this paper, we propose a new algorithm called Mutual-Match to solve the problem of uncertain subgraph query under the situation where both the graph dataset and the query are uncertain. Considering that the subgraph isomorphism verification is an NP-hard problem, and it will be more complex on uncertain graph data, the Mutual-Match algorithm uses MapReduce processes to find out all the subgraph matches and can adapt to dynamic graphs well. Experimental results on both real-world and synthetic datasets show the correctness and effectiveness of our proposed methods. © 2013 Springer-Verlag.

关键词： MapReduce

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Tumor gene expressive data classification based on locally linear representation Fisher criterion 1

引用

9th International Conference on intelligent computing, ICIC 2013

作者： Li, Bo Tian, Bei-Bei Liu, Jin School of Computer Science and Technology Wuhan University of Science and Technology 430081 Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China State Key Lab. of Software Engineering Wuhan China

ISBN: (数字)9783642394829

ISBN: (纸本)9783642394812

In this paper, a discriminant manifold learning method based on Locally Linear Embedding (LLE), which is named Locally Linear Representation Fisher Criterion (LLRFC), is proposed for the classification of tumor gene expressive data. In the proposed LLRFC, an inter-class graph and intra-class graph is constructed based on the class information of tumor gene expressive data, where the weights between nodes in both graph are optimized using locally linear representation trick. Moreover, a Fisher criterion is modeled to maximize the inter-class scatter and minimize the intra-class scatter simultaneously. Experiments on some benchmark tumor gene expressive data validate its efficiency. © 2013 Springer-Verlag.

关键词： Genes

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Optimal pricing for improving efficiency of taxi systems

Optimal pricing for improving efficiency of taxi systems

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23rd International Joint Conference on Artificial Intelligence, IJCAI 2013

作者： Gan, Jiarui An, Bo Wang, Haizhong Sun, Xiaoming Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China Oregon State University Corvallis OR 97331 United States

ISBN: (纸本)9781577356332

In Beijing, most taxi drivers intentionally avoid working during peak hours despite of the huge customer demand within these peak periods. This dilemma is mainly due to the fact that taxi drivers' congestion costs are not reflected in the current taxi fare structure. To resolve this problem, we propose a new pricing scheme to provide taxi drivers with extra incentives to work during peak hours. This differs from previous studies of taxi market by considering market variance over multiple periods, taxi drivers' profit-driven decisions, and their scheduling constraints regarding the interdependence among different periods. The major challenge of this research is the computational intensiveness to identify optimal strategy due to the exponentially large size of a taxi driver's strategy space and the scheduling constraints. We develop an atom schedule method to overcome these issues. It reduces the magnitude of the problem while satisfying the constraints to filter out infeasible pure strategies. Simulation results based on real data show the effectiveness of the proposed methods, which opens up a new door to improving the efficiency of taxi market in megacities (e.g., Beijing).

关键词： Traffic congestion

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