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检索条件"机构=Computer Vision and Machine Intelligence Laboratory Department of Computer Science"

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Grammatical error correction as multiclass classification with single model 17

Grammatical error correction as multiclass classification wi...

引用

17th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2013

作者： Jia, Zhongye Wang, Peilu Zhao, Hai MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China

ISBN: (纸本)9781937284718

This paper describes our system in the shared task of CoNLL-2013. We illustrate that grammatical error detection and correction can be transformed into a multiclass classification task and implemented as a single-model system regardless of various error types with the aid of maximum entropy modeling. Our system achieves the F1 score of 17.13% on the standard test set. © 2013 Association for Computational Linguistics.

关键词： Error correction

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Labeled Alignment for Recognizing Textual Entailment 6

Labeled Alignment for Recognizing Textual Entailment

引用

6th International Joint Conference on Natural Language Processing, IJCNLP 2013

作者： Wang, Xiao-Lin Zhao, Hai Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Department of Computer Science and Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China

ISBN: (纸本)9784990734800

Recognizing Textual Entailment (RTE) is to predict whether one text fragment can semantically infer another, which is required across multiple applications of natural language processing. The conventional alignment scheme, which is developed for machine translation, only marks the paraphrases and hyponyms to justify the entailment pairs, while provides less support for the non-entailment ones. This paper proposes a novel alignment scheme, named labeled alignment, to address this problem, which introduces negative links to explicitly mark the contradictory expressions to justify the non-entailment pairs. Thus the alignment-based RTE method employing the proposed scheme, compared with those employing the conventional one, can gain accuracy improvement through actively detecting the signals of non-entailment. The experimental results on the data sets of two shared RTE tasks indicate the implemented system significantly outperforms both the baseline system and all the other submitted systems. © IJCNLP *** right reserved.

关键词： Alignment

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Listeria monocytogenes Colony Counting from Microscopic Images Using Nonlinear Piecewise Least-Square Curve-Fitting Filter

Listeria monocytogenes Colony Counting from Microscopic Imag...

引用

International Conference on Information science and Applications (ICISA)

作者： Kitthichai Pahnchawatt Rajalida Lipikorn Suwimon Keeratipibul Machine Intelligence and Multimedia Information Technology Laboratory Department of Mathematics and Computer Science Chulalongkorn University Bangkok Thailand Department of Food Technology Faculty of Science Chulalongkorn University Bangkok Thailand

This paper proposes a novel method to enhance out-of-focus regions in microscopic images and detect Listeria Monocytogenes(L. monocytogenes.) in biofilm on a conveyor belt from an image with the aim to count the colonies of L. monocytogenes. Consider that a microscope can focus on a single point in the sample, this limitation makes each image contain both in-focus and out-of-focus regions. These out-of- focus regions are blurred with different blurring scale, thus the proposed method uses nonlinear piecewise least-square curve-fitting filter and the gradient to enhance the out-of-focus regions. Finally, watershed algorithm and morphological operations are used to segment and count the colonies. The proposed method was evaluated on a set of 30 L. monocytogenes microscopic images and a set of 90 synthetic test images. The counting results reveal that our proposed method can improve the quality of an image by enhancing the out-of-focus regions while preserving other regions which leads to more accurate counting results.

关键词： Curve fitting Image segmentation Microorganisms Microscopy Filtering algorithms Morphological operations Standards

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Enhanced Fireworks Algorithm

Enhanced Fireworks Algorithm

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Congress on Evolutionary Computation

作者： Shaoqiu Zheng Andreas Janecek Ying Tan Department of Machine Intelligence School of Electronics Engineering and Computer Science Key Laboratory of Machine Perception (Ministry of Education) Peking University Beijing China Research Group Entertainment Computing University of Vienna Vienna Austria

ISBN: (纸本)9781479904532

In this paper, we present an improved version of the recently developed Fireworks Algorithm (FWA) based on several modifications. A comprehensive study on the operators of conventional FWA revealed that the algorithm works surprisingly well on benchmark functions which have their optimum at the origin of the search space. However, when being applied on shifted functions, the quality of the results of conventional FWA deteriorates severely and worsens with increasing shift values, i.e., with increasing distance between function optimum and origin of the search space. Moreover, compared to other metaheuristic optimization algorithms, FWA has high computational cost per iteration. In order to tackle these limitations, we present five major improvements of FWA: (i) a new minimal explosion amplitude check, (ii) a new operator for generating explosion sparks, (iii) a new mapping strategy for sparks which are out of the search space, (iv) a new operator for generating Gaussian sparks, and (v) a new operator for selecting the population for the next iteration. The resulting algorithm is called Enhanced Fireworks Algorithm (EFWA). Experimental evaluation on twelve benchmark functions with different shift values shows that EFWA outperforms conventional FWA in terms of convergence capabilities, while reducing the runtime significantly.

关键词： Sparks Explosions Optimization Sociology Statistics Educational institutions Benchmark testing

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A Set-Based Discrete Differential Evolution Algorithm

A Set-Based Discrete Differential Evolution Algorithm

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IEEE International Conference on Systems, Man, and Cybernetics

作者： Yu Liu Wei-Neng Chen Zhi-Hui Zhan Ying Lin Yue-Jiao Gong Jun Zhang Department of Computer Science Sun Yat-sen University Key Laboratory of Machine Intelligence and Sensor Network Ministry of Education Key Laboratory of Software Technology Education Department of Guangdong Province P.R. China

ISBN: (纸本)9781479906505

The TSP problem is considered as classical discrete optimization grouping problem, which is widely used in practice, but it is real a difficult NP problem. Simultaneously differential evolution (DE) algorithm has been proven to be a powerful optimization algorithm. Since the mutation process of DE contains a series of arithmetic operators operating on continuous space, few algorithms based on DE solve this problem nicely and the advantages of DE in continuous space cannot be used to solve TSP. To take full advantages of the strengths of DE, this paper proposes a set-based DE (S-DE) which completely follows the procedure of the original DE. We present a representation scheme to characterize the discrete problem space and by redefining its basic concept and all related operators in mutation, DE can operate directly on the original set space of the discrete optimization problems instead of performing a space transformation. In that way, the searching features of DE in continuous space is kept. In experiment, we test the performance of our proposed S-DE and the results show it is very promising.

关键词： component Discrete Differential algorithm Sebased COP TSP MT CARD16 gene discrete element Optimization algorithms Total suspended particles evolutionary algorithm arithmetic operator NP problem CONTINUOUS SPACE differential evolution algorithms

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Extraction of Serial Numbers on Bank Notes

Extraction of Serial Numbers on Bank Notes

引用

International Conference on Document Analysis and Recognition

作者： Bo-Yuan Feng Mingwu Ren Xu-Yao Zhang Ching Y. Suen Department of Computer Science Nanjing University of science and technology National Laboratory of Pattern Recognition (NLPR) Institute of Automation of Chinese Academy of Sciences Centre for Pattern Recognition and Machine Intelligence (CENPAMI) Concordia University

ISBN: (纸本)9781479901937

The study of RMB (renminbi bank note, the paper currency used in China) serial number recognition draws more and more attention in recent years, for reducing financial crime, improving financial market stability and social security. The accuracy of RMB recognition relies heavily on the extraction, which is a challenging problem due to background variations and uneven illumination. In this paper, we present a new system that extracts the RMB characters directly from scanned RMB images. First, two different techniques, namely skew correction and orientation identification are used to detect the region which contains RMB serial number. Then the detected text region is binarized by a combined thresholding technique. After that, a local contrast average method is introduced to extract the RMB characters from the binarization result. The experiments demonstrate that the proposed binarization method outperforms other well-known methods. For character extraction, we report an overlap-recall rate of 79.68% and an overlap-precision rate of 98.10% respectively.

关键词： Image binarization Combination technique Local contrast RMB serial number extraction

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Converting continuous-space language models into N-gram language models for statistical machine translation

Converting continuous-space language models into N-gram lang...

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2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013

作者： Wang, Rui Utiyama, Masao Goto, Isao Sumita, Eiichro Zhao, Hai Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong Unviersity Shanghai200240 China Multilingual Translation Laboratory MASTAR Project National Institute of Information and Communications Technology 3-5 Hikaridai Keihanna Science City Kyoto619-0289 Japan MOE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong Unviersity Shanghai200240 China

ISBN: (纸本)9781937284978

Neural network language models, or continuous-space language models (CSLMs), have been shown to improve the performance of statistical machine translation (SMT) when they are used for reranking n-best translations. However, CSLMs have not been used in the first pass decoding of SMT, because using CSLMs in decoding takes a lot of time. In contrast, we propose a method for converting CSLMs into back-off n-gram language models (BNLMs) so that we can use converted CSLMs in decoding. We show that they outperform the original BNLMs and are comparable with the traditional use of CSLMs in reranking. © 2013 Association for Computational Linguistics.

关键词： Decoding

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Palmprint verification using SIFT majority voting

Palmprint verification using SIFT majority voting

引用

26th Annual International Symposium on computer and Information science, ISCIS 2011

作者： Abeysundera, H. Pasindu Eskil, M. Taner Department of Computer Science and Engineering Pattern Recognition and Machine Intelligence Laboratory ISIK University Istanbul Turkey

In this paper we illustrate the implementation of a robust, real-time biometric system for identity verification based on palmprint images. The palmprint images are preprocessed to align the major axes of hand shapes and to extract the palm region. We extract features using Scale Invariant Feature Transform (SIFT). Classification of individual SIFT features is done through KNN. The class of the hand image is decided by a majority based voting among its classified SIFT features. We demonstrate on the CASIA and PolyU datasets that the proposed system achieves authentication accuracy comparable to other state of the art algorithms. © 2012 Springer-Verlag London Limited.

关键词： Anthropometry

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Semi-automatic adaptation of high-polygon wireframe face models through inverse perspective projection

Semi-automatic adaptation of high-polygon wireframe face mod...

引用

26th Annual International Symposium on computer and Information science, ISCIS 2011

作者： Benli, Kristin S. Aǧdoǧan, Didem Özgüz, Mete Eskil, M. Taner Department of Computer Science and Engineering Pattern Recognition and Machine Intelligence Laboratory ISIK University Istanbul Turkey

Precise registration of a generic 3D face model with a subject's face is a critical stage for model based analysis of facial expressions. In this study we propose a semi-automatic model fitting algorithm to fit a high-polygon wireframe model to a single image of a face. We manually mark important landmark points both on the wireframe model and the face image. We carry out an initial alignment by translating and scaling the wireframe model. We then translate the landmark vertices in the 3D wireframe model so that they coincide with inverse perspective projections of image landmark points. The vertices that are not manually labeled as landmark are translated with a weighted sum of vectorial displacement of k neighboring landmark vertices, inversely weighted by their 3D distances to the vertex under consideration. Our experiments indicate that we can fit a high-polygon model to the subject's face with modest computational complexity. © 2012 Springer-Verlag London Limited.

关键词： Geometry

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Numerical integration methods for simulation of mass-spring-damper systems

Numerical integration methods for simulation of mass-spring-...

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26th Annual International Symposium on computer and Information science, ISCIS 2011

作者： Özgüz, Mete Eskil, M. Taner Department of Computer Science and Engineering Pattern Recognition and Machine Intelligence Laboratory ISIK University Istanbul Turkey

The dynamics of a face are often implemented as a system of connected particles with various forces acting upon them. Animation of such a system requires the approximation of velocity and position of each particle through numerical integration. There are many numerical integrators that are commonly used in the literature. We conducted experiments to determine the suitability of numerical integration methods in approximating the particular dynamics of mass-spring-damper systems. Among Euler, semi-implicit Euler, Runge-Kutta and Leapfrog, we found that simulation with Leapfrog numerical integration characterizes a mass-spring-damper system best in terms of the energy loss of the overall system. © 2012 Springer-Verlag London Limited.

关键词： Energy dissipation

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