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Automatic recognition of noisy Code-39 barcode

Automatic recognition of noisy Code-39 barcode

引用

16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006

作者： Fang, Xianyong Wu, Fuli Luo, Bin Zhao, Haifeng Wang, Peng Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University College of Information Engineering Zhejiang University of Technology Electronics Ltd.

ISBN: (纸本)076952754X

Barcode has been widely applied in the modern world. This paper presents a fast and robust recognition method of noisy Code 39 barcode. The proposed method can be divided into two steps: search and decoding. In the first step, all asterisks in the image are found with evenly defined scan lines and then those with the same directions are matched together to get a valid barcode region. In the second step, a local denoise method is first applied to eliminate noise in the barcode region and then a middle band filter is used to decode the barcode. Our method is simple in comparison with former methods and experimental results show that it is efficient for fast barcode recognition on noisy images. © 2006 IEEE.

关键词： Decoding

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ICT: System description for CoNLL-2012

ICT: System description for CoNLL-2012

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2012 Joint Conference on Empirical Methods in Natural Language processing and Computational Natural Language Learning, EMNLP-CoNLL 2012 - Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes

作者： Xiong, Hao Liu, Qun Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing100190 China

ISBN: (纸本)9781937284459

In this paper, we present our system description for the CoNLL-2012 coreference resolution task on English, Chinese and Arabic. We investigate a projection-based model in which we first translate Chinese and Arabic into English, run a publicly availab.e coreference system, and then use a new projection algorithm to map the coreferring entities back from English into mention candidates detected in the Chinese and Arabic source. We compare to a baseline that just runs the English coreference system on the supplied parses for Chinese and Arabic. Because our method does not beat the baseline system on the development set, we submit outputs generated by the baseline system as our final submission. © 2012 Association for Computational Linguistics.

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Distinguishing patients with gastritis and cholecystitis from the healthy by analyzing wrist radial arterial doppler blood flow signals

Distinguishing patients with gastritis and cholecystitis fro...

引用

International Conference on Pattern Recognition

作者： Jiang, Xiaorui Zhang, Dongyu Wang, Kuanquan Zuo, Wangmeng Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Department of Computer Science and Technology Harbin Institute of Technology

ISBN: (纸本)9780769541099

This paper tries to fill the gap between Traditional Chinese Pulse Diagnosis (TCPD) and Doppler diagnosis by applying digital signal analysis and pattern classification techniques to wrist radial arterial Doppler blood flow signals. Doppler blood flows signals (DBFS) of patients with cholecystitis, gastritis and healthy people are classified by L2-soft margin SVM and 5 linear classifiers using the proposed feature - piecewise axially integrated bispectra (PAIB). A 5-fold cross validation is used for performance evaluation. The classification accuracies between either two groups of subjects are greater than 93%. Gastritis can be recognized with higher accuracy than cholecystitis. Cholecystitis can be recognized with higher accuracy on left hand data than right. The findings in this paper partly conform to the theory of TCPD. Though the sample size is relatively small, we could still argue that the methods proposed here are effective and could serve as an assistive tool for TCPD. © 2010 IEEE.

关键词： Blood

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Abstractive news summarization based on event semantic link network 26

Abstractive news summarization based on event semantic link ...

引用

26th International Conference on Computational Linguistics, COLING 2016

作者： Li, Wei He, Lei Zhuge, Hai Key Lab. of Intelligent Information Processing Institute of Computing Technology University of Chinese Academy of Sciences Beijing China Aston University Birmingham United Kingdom

ISBN: (纸本)9784879747020

This paper studies the abstractive multi-document summarization for event-oriented news texts through event information extraction and abstract representation. Fine-grained event mentions and semantic relations between them are extracted to build a unified and connected event semantic link network, an abstract representation of source texts. A network reduction algorithm is proposed to summarize the most salient and coherent event information. New sentences with good linguistic quality are automatically generated and selected through sentences over-generation and greedy-selection processes. Experimental results on DUC 2006 and DUC 2007 datasets show that our system significantly outperforms the state-of-the-art extractive and abstractive baselines under both pyramid and ROUGE evaluation metrics. © 1963-2018 ACL.

关键词： Semantics

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ICT: A system combination for Chinese semantic dependency parsing 1

ICT: A system combination for Chinese semantic dependency pa...

引用

1st Joint Conference on Lexical and Computational Semantics, *SEM 2012

作者： Xiong, Hao Liu, Qun Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing100190 China

ISBN: (纸本)9781937284220

The goal of semantic dependency parsing is to build dependency structure and lab.l semantic relation between a head and its modifier. To attain this goal, we concentrate on obtaining better dependency structure to predict better semantic relations, and propose a method to combine the results of three state-of-The-Art dependency parsers. Unfortunately, we made a mistake when we generate the final output that results in a lower score of 56.31%in term of lab.led Attachment Score (LAS), reported by organizers. After giving golden testing set, we fix the bug and rerun the evaluation script, this time we obtain the score of 62.8% which is consistentwith the results on developing set. We will report detailed experimental results with correct program as a comparison standard for further research. © 2012 Association for Computational Linguistics.

关键词： Semantics

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ICT: A translation based method for cross-lingual textual entailment 1

ICT: A translation based method for cross-lingual textual en...

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1st Joint Conference on Lexical and Computational Semantics, *SEM 2012

作者： Meng, Fandong Xiong, Hao Liu, Qun Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing100190 China

ISBN: (纸本)9781937284220

In this paper, we present our system description in task of Cross-lingual Textual Entailment. The goal of this task is to detect entailment relations between two sentences written in different languages. To accomplish this goal, we first translate sentences written in foreign languages into English. Then, we use EDITS1, an open source package, to recognize entailment relations. Since EDITS only draws monodirectional relations while the task requires bidirectional prediction, thus we exchange the hypothesis and test to detect entailment in another direction. Experimental results show that our method achieves promising results but not perfect results compared to other participants. © 2012 Association for Computational Linguistics.

关键词： Translation (languages)

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Automatic adaptation of annotation standards for dependency parsing - Using projected treebank as source corpus 11

Automatic adaptation of annotation standards for dependency ...

引用

11th International Conference on Parsing Technologies, IWPT 2009

作者： Jiang, Wenbin Liu, Qun Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing100190 China

We describe for dependency parsing an annotation adaptation strategy, which can automatically transfer the knowledge from a source corpus with a different annotation standard to the desired target parser, with the supervision by a target corpus annotated in the desired standard. Furthermore, instead of a hand-annotated one, a projected treebank derived from a bilingual corpus is used as the source corpus. This benefits the resource-scarce languages which haven't different hand-annotated treebanks. Experiments show that the target parser gains significant improvement over the baseline parser trained on the target corpus only, when the target corpus is smaller. © 2009 Association for Computational Linguistics

关键词： Forestry

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Imputation of Compound Property Assay Data Using a Gene Expression Programming-Based Method 1st

Imputation of Compound Property Assay Data Using a Gene Expr...

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1st International Conference on Applied Intelligence, ICAI 2023

作者： Zhou, Hongliang Lin, Yanmei Chen, Nan Peng, Yuzhong Key Lab of Scientific Computing and Intelligent Information Processing Nanning Normal University Guangxi Nanning5300001 China Guangxi Academy of Sciences Guangxi Nanning530007 China

ISBN: (纸本)9789819709021

Compound property assays are an important part of drug development, but incomplete data may occur for a variety of reasons. To deal with these incomplete data and improve the success rate of drug development, researchers often need to effectively impute the missing data. Therefore, this paper proposes a gene expression programming-based method, called GEP-CPI, for imputing missing compound property assay data. In GEP-CPI, the missing data imputation model is expressed by the parse tree of a chromosome, and then the optimal missing data imputation model is mined by iterative evolution of the chromosome population. Experimental results on three compound property assay related datasets demonstrates that the proposed method generally outperforms the state-of-the-art methods in imputing missing data of compound property assays. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Trees (mathematics)

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ObjectSense: A scalab.e multi-objects recognition system based on partial-duplicate image retrieval 13

ObjectSense: A scalable multi-objects recognition system bas...

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3rd ACM International Conference on Multimedia Retrieval, ICMR 2013

作者： Wang, Shuang Xue, Yunfeng Chu, Lingyang Jiang, Yuhao Jiang, Shuqiang Key Lab. of Intelligent Information Processing Institute of Computing Tech. CAS Beijing China College of Information Science and Engineering Shandong University of Science and Technology Qingdao China

ISBN: (纸本)9781450320337

In this demo, we present ObjectSense, a scalab.e object recognition system that recognizes multiple objects present in a static image or in the camera frames. Instead of applying learning based recognition framework, this system identifies objects through Partial-Duplicate Image Retrieval (PDIR) based method. First, objects are identified by measuring the similarity between an incoming image and reference image corpus that are lab.led with the objects. To compute image similarities, we explore the Consistency Graph Model (CGM), which robustly rejects spatially inconsistent feature matches with the advantage of orientations and positions of local features. Then a kNN voting method is used to decide the object category based on the quantized image similarities. ObjectSense is scalab.e with promisingly high recall and accuracy, which fits well into recognition-guided shopping and human computer interaction. We built ObjectSense on two platforms, PC and Android. © 2013 Authors.

关键词： Object recognition

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A computing model for concept fusing and document classification

A computing model for concept fusing and document classifica...

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2006 2nd International Conference on Semantics Knowledge and Grid, SKG

作者： Zhang, Nan He, Chao Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O.Box 2704-28 100080 Beijing China

ISBN: (纸本)0769532055

Effective document classification is a long-pursued goal in knowledge management. This paper proposes a novel hybrid approach of semantic representation and statistical measurements. Document is divided into content segments first. By Formal Concept Analysis (FCA), their semantic links with standard concept identifiers are built up whose weights are calculated statistically. In this way, effective concept fusing and document classification can be achieved. In addition, a semantic overlay for specific documents will be constructed via concept fusing. Experiments show our approach is feasible and effective. © 2006 IEEE.

关键词： Formal concept analysis

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