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Mt tuning on red: A dependency-based evaluation metric 10

Mt tuning on red: A dependency-based evaluation metric

10th Workshop on Statistical Machine Translation, WMT 2015 at the 2015 Conference on Empirical Methods in Natural Language processing, EMNLP 2015

作者： Li, Liangyou Yu, Hui Liu, Qun Adapt Centre School of Computing Dublin City University Ireland Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China

ISBN: (纸本)9781941643327

In this paper, we describe our submission to WMT 2015 Tuning Task. We integrate a dependency-based MT evaluation metric, RED, to Moses and compare it with BLEU and METEOR in conjunction with two tuning methods: MERT and MIRA. Experiments are conducted using hierarchical phrase-based models on Czech-English and English-Czech tasks. Our results show that MIRA performs better than MERT in most cases. Using RED performs similarly to METEOR when tuning is performed using MIRA. We submit our system tuned by MIRA towards RED to WMT 2015. In human evaluations, we achieve the 1st rank in all 7 systems on the English-Czech task and 6/9 on the Czech-English task. © EMNLP 2015. All rights reserved.

关键词： Natural language processing systems

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Dynamic gesture detection and classification

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Ruan Jian Xue Bao/Journal of Software 2016年 27卷 58-63页

作者： Wang, Han-Jie Chai, Xiu-Juan Chen, Xi-Lin Key Laboratory of Intelligent Information Processing of the Chinese Academy of Sciences Institute of Computing Technology The Chinese Academy of Sciences Beijing100190 China

This paper proposes a framework of gesture detection and classification in continuous sequence data. The goal of detection is to determine the start and end frame of a gesture in the continuous sequence. The detection method using multi-modal features ensures the robustness and high accuracy. To classify the detected gestures represented by covariance matrices, a distance measurement on Grassmann manifold is presented to strengthen the discriminative power. The framework is evaluated on ChaLearn Multimodal Gesture dataset 2013 and achieves high accuracy. Both Recall and Precision are higher than 93%. © Copyright 2016, institute of Software, the Chinese Academy of Sciences. All rights reserved.

关键词： Covariance matrix

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Proteomic identification of intact glycopeptides

Proteomic identification of intact glycopeptides

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2016 International Symposium on Analytical Chemistry Frontiers & China-US Analytical Chemistry Workshop

作者： Ming-Qi Liu Wen-Feng Zeng Pan Fang Yang Zhang Wei-qian Cao Jian-Qiang Wu Rui-Xiang Sun Chao Peng Catherine C.L.Wong Si-Min He Peng-Yuan Yang Department Chemistry and Institutes of Biomedical Sciences Fudan University Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS and University of Chinese Academy of Sciences National Center for Protein Science (Shanghai) Institute of Biochemistry and Cell Biology Shanghai Institutes for Biological Sciences CAS

We have developed a workflow that robustly identifies intact glycopeptides at a proteome scale using stepped-energy mass-spectrometry. This workflow has decoded as a computational strategy called as pGlyco+, a dedicated search engine for glycopeptide analysis. Our high-throughput method has enable us to interpret a total of 5,564 distinct site-specific N-glycoforms, on 1,478 glycosylation sites of relative 809 glycoproteins from five mouse tissues, and in 20 hours of mass-spectrometry analysis. Strict quality control(1% false discovery rate) was performed not only for the peptide matches but novel for glycan ones as well. We have also compared our search engine with a routinely used glycoproteomic software and believed that our method is a rather robust tool for site-specific glycosylation study likely. To demonstrate the importance of comprehensive quality control for both the glycan and peptide matches, we have conducted a fair performance comparison between pGlyco+ and Byonic, a routinely used glycoproteomic software: exactly same MS/MS data, and parameters such as tolerance, databases of protein and glycan were used. Under 1% FDR, pGlyco+ identified 23,086 glycopeptide spectra, while Byonic only identified 8,866 glycopeptide spectra. The corresponding number of identified distinct glycopeptides were 5,430 for pGlyco+ and 2,206 for Byoinc. To reach the same sensitivity of pGlyco+(23,086 identified spectra under 1% FDR), Byonic would have unacceptably 30% FDR using the same criteria.

关键词： Glycopeptide Mass Spectrometry pGlyco+

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The face object based HEVC system for video call 8

The face object based HEVC system for video call

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8th International Conference on Mobile Multimedia Communications, MOBIMEDIA 2015

作者： Wang, Xi Yan, Chenggang Clarence Huang, Qingming Su, Li Jiang, Shuqiang Huang, Xianglin Institute of Computing Technology University of Chinese Academy of Sciences Beijing100190 China Department of Automation Tsinghua University Key Lab of Intelligent Information Processing CAS Institute of Computing Technology Beijing100190 China Beijing100024 China

ISBN: (纸本)9781631900662

Guaranteing the quality of face object in video call is the key task for video coding systems under the constrained bandwidth of network. Conventionally, the face object is divided into disperse blocks under the hybrid coding framework. Therefore, the characteristics of the complete face object have not been fully used. Meanwhile, it is difficult to predict the complex affine transformations such as rotation and scaling of the face object in neighboring frames based on the current translation motion model. In this paper, we propose an improved video coding scheme for video call. The complex transformation of complete face object is used to improve the compression effect. Experimental results show that our proposed method has better performance compared with HM12.0, the bits rate saving of face region is up to 19.59% under the similar visual quality. Copyright © 2015 ICST.

关键词： Image coding

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EXPRESS WAYBILL EXTRACTION ON PARCEL IMAGES BY LOGO MATCHING

EXPRESS WAYBILL EXTRACTION ON PARCEL IMAGES BY LOGO MATCHING

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IEEE International Conference on Image processing

作者： Shujing Lu Jie Zhao Yue Lu ECNU-SRI Joint Lab for Pattern Analysis and Intelligent System Shanghai Research Institute of China Post Group Shanghai Key Laboratory of Multidimensional Information Processing Department of Computer Science and Technology East China Normal University

ISBN: (纸本)9781467399623

We propose an efficient method for automatically extracting express waybills from parcel images, which is challenging due to varied resolution of parcel images, arbitrary direction of waybills and different information filled by senders. To address these challenges, logo matching is employed to extract the waybills. We begin by extracting scale-invariant feature-transformation (SIFT) keypoints from both the reference logo image and a parcel image, and matching them subject to a consistent projective transformation (homography) by using random sample consensus (RANSAC). Once the homography matrix is computed, we extract the waybill of parcel image by mapping all pixels from a standard waybill image to the parcel image. Experimental results on test datasets demonstrate the effectiveness of the proposed method.

关键词： Logo matching Express waybill extraction SIFT images Sifting Fields LOGO Imagery (Psychotherapy) Image homography

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Online hot event discovery based on Association Link Network

Online hot event discovery based on Association Link Network

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作者： Liu, Yang Luo, Xiangfeng Xuan, Junyu School of Computer Engineering and Science Shanghai University China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science Beijing China

Online hot event discovery has become a flourishing frontier where online document streams are monitored to discover newly occurring events or assigned to previously detected events. However, hot events have the nature to evolve, and their inherent topically related words are also likely to evolve. It makes event discovery a challenging task for traditional-mining approaches. Combining word association and semantic community, Association Link Network (ALN) organizes the loosely distributed associated resources. This paper presents an ALN-based novel online hot event discovery approach. Technically, this approach is enacted around three stages. In the first stage, we extract significant features to represent the content of each document from the online document stream. During the second stage, we classify the online document stream into topically related detected events considering event evolution in the form of ALN. At the third stage, we create an ALN-based event detection algorithm, which is used to timely discover newly occurring hot events. The online datasets used in our empirical studies are acquired from Baidu News, which spans a range of 1315 hot events and 236,300 documents. Experimental results demonstrate the hot events discovery ability with respect to high accuracy, good scalab.lity, and short runtime. © 2015 John Wiley & Sons, Ltd.

关键词： Semantics

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OMEG: Oulu multi-pose eye gaze dataset 19th

OMEG: Oulu multi-pose eye gaze dataset

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19th Scandinavian Conference on Image Analysis, SCIA 2015

作者： He, Qiuhai Hong, Xiaopeng Chai, Xiujuan Holappa, Jukka Zhao, Guoying Chen, Xilin Pietikäinen, Matti Department of Computer Science and Engineering University of Oulu Oulu Finland Key Lab of Intelligent Information Processing of the Chinese Academy of Sciences The Institute of Computing Technology of the Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783319196640

Data is in a very important position for pattern recognition tasks including eye gaze estimation. In the literature, most researchers used normal face datasets, which are not specifically designed for eye gaze estimation. As a result, it is difficult to obtain fine lab.led eye gaze direction. Therefore large datasets with well-defined gaze directions are desired. To facilitate related researches, we collect and establish the Oulu Multi-pose Eye Gaze Dataset. Inspired by the psychological observation that gaze direction is intrinsically linked with the head orientation, we are devoted to a new data set of eye gaze images captured under multiple head poses. It finally results in a dataset containing over 40K images from 50 subjects, who were asked to fixate on 10 special points on screen under different poses respectively. We investigate a new eye gaze estimation approach by using the IGO based description, and compare it with other popular eye gaze estimation approaches to provide the baseline results on our dataset. © Springer International Publishing Switzerland 2015.

关键词： Pattern recognition

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CCF-based awareness in agent model ABGP 4th

CCF-based awareness in agent model ABGP

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4th IFIP TC 12 International Conference on rtificial Intelligence in Theory and Practice, IFIP AITP 2015 Held as Part of International Federation for information processing, WCC 2015

作者： Shi, Zhongzhi Yue, Jinpeng Ma, Gang Yang, Xi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9783319252605

ABGP is an agent cognitive model, which combines external perception and internal mental state of agents together. The model consists of 4-tuple . For environment awareness a framework named Coding and Combining Features (CCF) is proposed in this paper. The CCF framework combines feature descriptors together based on the compact coding. In the CCF framework firstly compact codes are learned to be robust to complex image content variations. Secondly, the compact codes from multiple information sources are combined by multi-kernel learning to generate the final feature. The experiment results show us that CCF method achieves a better performance in the identification task. © IFIP International Federation for information processing 2015.

关键词： Codes (symbols)

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Simulate Human Saccadic Scan-Paths in Target Searching

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International Journal of Intelligence Science 2016年第1期6卷 1-9页

作者： Lijuan Duan Jun Miao David M. W. Powers Jili Gu Laiyun Qing Beijing Key Laboratory of Trusted Computing Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data College of Computer Science and Technology Beijing University of Technology Beijing China National Engineering Laboratory for Critical Technologies of Information Security Classified Protection Beijing China Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences(CAS) Institute of Computing Technology CAS Beijing China School of Computer Science Engineering & Maths Flinders University of South Australia Adelaide South Australia Beijing Samsung Telecom R&D Center Beijing China University of Chinese Academy of Sciences Beijing China

Human saccade is a dynamic process of information pursuit. There are many methods using either global context or local context cues to model human saccadic scan-paths. In contrast to them, this paper introduces a model for gaze movement control using both global and local cues. To test the performance of this model, an experiment is done to collect human eye movement data by using an SMI iVIEW X Hi-Speed eye tracker with a sampling rate of 1250 Hz. The experiment used a two-by-four mixed design with the location of the targets and the four initial positions. We compare the saccadic scan-paths generated by the proposed model against human eye movement data on a face benchmark dataset. Experimental results demonstrate that the simulated scan-paths by the proposed model are similar to human saccades in term of the fixation order, Hausdorff distance, and prediction accuracy for both static fixation locations and dynamic scan-paths.

关键词： Saccadic Scan-Paths Eye Movement Fixation Locations Dynamic Scan-Paths

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MR-COF: A genetic MapReduce configuration optimization framework 15th

MR-COF: A genetic MapReduce configuration optimization frame...

引用

15th International Conference on Algorithms and Architectures for Parallel processing, ICA3PP 2015

作者： Liu, Chao Zeng, Deze Yao, Hong Hu, Chengyu Yan, Xuesong Fan, Yuanyuan Hubei Key Laboratory of Intelligent Geo-Information Processing China University of Geosciences Wuhan430074 China China Services Computing Technology and System Lab and Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9783319271392

Hadoop/MapReduce has emerged as a de facto programming framework to explore cloud-computing resources. Hadoop has many configuration parameters, some of which are crucial to the performance of MapReduce jobs. In practice, these parameters are usually set to default or inappropriate values. This severely limits system performance (e.g., execution time). Therefore, it is essential but also challenging to investigate how to automatically tune these parameters to optimize MapReduce job performance. In this paper, we propose an automatic MapReduce configuration optimization framework named as MR-COF. By monitoring and analyzing the runtime behavior, the framework adopts a cost-based performance prediction model that predicts the MapReduce job performance. In addition, we design a genetic search algorithm which iteratively tunes parameters in order to find out the best one. Testbed-based experimental results show that the average MapReduce job performance is increased by 35% with MR-COF compared to the default configuration. © Springer International Publishing Switzerland 2015.

关键词： MapReduce

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