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2011 International Conference on Virtual Reality and Visualization, ICVRV 2011

作者： Feng, Zhiquan Zheng, Yanwei Yang, Bo Gai, Wei Li, Yi Lin, Yan Tang, Haokui Song, Xianhui School of Information Science and Engineering University of Jinan Shandong Provincial Key Laboratory of Network Based Intelligent Computing Jinan China

ISBN: (纸本)9780769546025

A novel framework for 3D freehand tracking is put forward in this paper. Firstly, we model and investigate this problem under our virtual assembly system (VAS), so as to decrease the arbitrariness and complexity of this issue. Secondly, we put emphasis on building cognitive and behavioral model (BM) for users in VAS. Thirdly, we research on the way to track 3D freehand based on BM. Our experimental results show that the proposed approach raises the quality of each sampled particle or avoid sampling "poor" particles which appear with low probability in each frame, and it tracks 3D freehand in real-time with high accuracy. The number of the drawn particles is reduced up to 5 and the tracking speed increase up to 81 ms per frame. © 2011 IEEE.

关键词： Human computer interaction

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The correspondence between the concepts in description logics for contexts and formal concept analysis

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Science China(information Sciences) 2012年第5期55卷 1106-1122页

作者： MA Yue 1,2,SUI YueFei 1 & CAO CunGen 1 1 key laboratory of intelligent information processing,Institute of computing Technology,Chinese Academy of Sciences,Beijing 100190,China 2 Graduate University of Chinese Academy of Sciences,Beijing,China 1. Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China2. Graduate University of Chinese Academy of Sciences Beijing 100049 China

Formal concept analysis (FCA) and description logic (DL) are meant to be formalizations of concepts.A formal concept in the former consists of its intent and extent,where the intent is the set of all the attributes shared by each object in the extent of the concept,and the extent is the set of all the objects sharing each property in the intent of the concept.A concept in the latter formalization is simply a concept name,the interpretation of which is a subset of a *** consider the correspondence between concepts in both formalizations,a multi-valued formal context must be represented both as a knowledge base and as a model of the DL for contexts,where concepts are decomposed into tuple concepts C,interpreted as a set of tuples and value concepts V,interpreted as a set of attribute-value *** show that there is a difference between the interpretation of concepts R.V /R.C and the Galois connection between the extent/intent of formal concepts in *** to the Galois connection,there should be concepts of the form + R.V and + R.C inter-preted in FCA,and hence the logical language L for DL is extended to be L + together with + as a constructor so that + R.V and + R.C are well-defined ***,according to the interpretation in DL there should be pseudo concepts in FCA so that the interpretation of concepts R.V /R.C is the extent/intent of pseudo *** correspondence between formal concepts and concepts in L +,and between pseudo concepts and concepts in L are presented in this paper.

关键词： description logic formal concept analysis concept attribute/role

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An automatic semantic relationships discovery approach 04

An automatic semantic relationships discovery approach

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13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004

作者： Zhuge, Hai Zheng, Liping Zhang, Nan Li, Xiang China Knowledge Grid Research Group Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China

ISBN: (纸本)1581139128

An important obstacle to the success of the Semantic Web is that the establishment of the semantic relationship is labor-intensive. This paper proposes an automatic semantic relationship discovering approach for constructing the semantic link network. The basic premise of this work is that the semantics of a web page can be reflected by a set of keywords, and the semantic relationship between two web pages can be determined by the semantic relationship between their keyword sets. The approach adopts the data mining algorithms to discover the semantic relationships between keyword sets, and then uses deductive and analogical reasoning to enrich the semantic relationships. The proposed algorithms have been implemented. Experiment shows that the approach is feasible.

关键词： Data mining

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Enhancing Multi-turn Dialogue Modeling with Intent information for E-Commerce Customer Service 9th

Enhancing Multi-turn Dialogue Modeling with Intent Informati...

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9th CCF International Conference on Natural Language processing and Chinese computing, NLPCC 2020

作者： Liu, Ruixue Chen, Meng Liu, Hang Shen, Lei Song, Yang He, Xiaodong JD AI Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783030604493

Nowadays, it is a heated topic for many industries to build intelligent conversational bots for customer service. A critical solution to these dialogue systems is to understand the diverse and changing intents of customers accurately. However, few studies have focused on the intent information due to the lack of large-scale dialogue corpus with intent labelled. In this paper, we propose to leverage intent information to enhance multi-turn dialogue modeling. First, we construct a large-scale Chinese multi-turn E-commerce conversation corpus with intent labelled, namely E-IntentConv, which covers 289 fine-grained intents in after-sales domain. Specifically, we utilize the attention mechanism to extract Intent Description Words (IDW) for representing each intent explicitly. Then, based on E-IntentConv, we propose to integrate intent information for both retrieval-based model and generation-based model to verify its effectiveness for multi-turn dialogue modeling. Experimental results show that extra intent information is useful for improving both response selection and generation tasks. © 2020, Springer Nature Switzerland AG.

关键词： Electronic commerce

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A subtree-based factorization of dependency parsing 26

A subtree-based factorization of dependency parsing

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26th International Conference on Computational Linguistics, COLING 2016

作者： Zhao, Qiuye Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China ADAPT Centre School of Computing Dublin City University Ireland

ISBN: (纸本)9784879747020

We propose a dependency parsing pipeline, in which the parsing of long-distance projections and localized dependencies are explicitly decomposed at the input level. A chosen baseline dependency parsing model performs only on 'carved' sequences at the second stage, which are transformed from coarse constituent parsing outputs at the first stage. When k-best constituent parsing outputs are kept, a third-stage is required to search for an optimal combination of the overlapped dependency subtrees. In this sense, our dependency model is subtree-factored. We explore alternative approaches for scoring subtrees, including feature-based models as well as continuous representations. The search for optimal subset to combine is formulated as an ILP problem. This framework especially benefits the models poor on long sentences, generally improving baselines by 0.75-1.28 (UAS) on English, achieving comparable performance with high-order models but faster. For Chinese, the most notable increase is as high as 3.63 (UAS) when the proposed framework is applied to first-order parsing models. © 1963-2018 ACL.

关键词： Syntactics

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Architecture design of an equipment inspection system based on NFC & mobile internet

Architecture design of an equipment inspection system based ...

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International Conference on Cyberspace Technology, CCT 2014

作者： Liu, Kun Ma, Kun Liu, Mingjun Shandong Provincial Key Laboratory of Network Based Intelligent Computing School of Information Science and Engineering University of Jinan Jinan China

ISBN: (纸本)9781849199285

In this paper, we propose an architecture of Equipment Inspection System (EIS), which is based on the function of Near Field Communication (NFC) and Mobile Internet (MI). First, this architecture adopts Android platform as the client side. Subsequently, we use the Apache MINA framework to implement the server with high performance, and a lightweight JavaEE framework to implement the Web server. This architecture is applied in the EIS successfully, and the users in the system can read the work permit number and equipment number through the NFC function in the client side. Furthermore, users are able to inspect the equipment, which ensures each inspector to finish his work as soon as possible. The practice indicates that our system can improve the working efficiency, and ensure the effective data accuracy and security at the same time.

关键词： Inspection

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3D level set method via local structure similarity factor for automatic neurosensory retinal detachment segmentation in retinal SD-OCT images 2nd

3D level set method via local structure similarity factor fo...

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2nd CCF International Conference on Artificial Intelligence, CCF-ICAI 2019

作者： Sun, Yue Niu, Sijie Dong, Jiwen Chen, Yuehui Shandong Provincial Key Laboratory of Network based Intelligent Computing School of Information Science and Engineering University of Jinan Jinan China

ISBN: (纸本)9789813292970

Qualitative assessment of pathological changes is vital for clinicians to determine the degree of neurosensory retinal detachment (NRD). However, accurate segmentation is challenging due to the diversity of NRD size and location. Spectral domain-optical coherence tomography (SD-OCT) imaging technology can yield high-resolution, three-dimensional images of the retinal histopathological structure without invasion and injury, whereas always accompanied by high-level noise and low-contrast intensity. In this paper, a novel automatic segmentation approach was presented based on two-stage clustering and an improved 3D level set method to quantify NRD regions in SD-OCT images. Considering the difference intensity distribution of NRD regions and the background, an unsupervised two-stage clustering method based on k-means was used to get initial surfaces for subsequence segmentation. In order to reduce the effect of noise and utilize spatial constraint information, 3D local structure similarity factor was proposed by combining the characteristic of the intensity of a voxel can be similar to those of its neighbors, which was introduced into level set model. Comparing with six methods, the experiment of 23 volumes from 12 patients demonstrates that the proposed method can improve the accuracy of location and segmentation for NRD regions in SD-OCT images. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Numerical methods

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Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation

Viterbi Decoding of Directed Acyclic Transformer for Non-Aut...

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2022 Findings of the Association for Computational Linguistics: EMNLP 2022

作者： Shao, Chenze Ma, Zhengrui Feng, Yang Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China

Non-autoregressive models achieve significant decoding speedup in neural machine translation but lack the ability to capture sequential dependency. Directed Acyclic Transformer (DA-Transformer) was recently proposed to model sequential dependency with a directed acyclic graph. Consequently, it has to apply a sequential decision process at inference time, which harms the global translation accuracy. In this paper, we present a Viterbi decoding framework for DA-Transformer, which guarantees to find the joint optimal solution for the translation and decoding path under any length constraint. Experimental results demonstrate that our approach consistently improves the performance of DA-Transformer while maintaining a similar decoding speedup. © 2022 Association for Computational Linguistics.

关键词： Decoding

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2018 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2018

作者： Wang, Weifang Dong, Jiwen Niu, Sijie Chen, Yuehui University of Jinan Shandong Provincial Key Laboratory of Network Based Intelligent Computing School of Information Science and Engineering Jinan China

ISBN: (纸本)9781728105512

In this paper, we propose a novel edge preserving and noise adaption for retina image superresolution (SR) reconstruction. The proposed method incorporates non-local similarity and edge difference into semicoupled dictionary learning (NSED-SCDL). Firstly, in order to suppress speckle noise during reconstructing, non-local similarity is utilized to construct the denoising constraint. Secondly, for preserving the edge information of the reconstructed image, the edge difference between the observed low-resolution (LR) image and degraded version of the reconstructed image is employed to construct regularization term. Thirdly, we explore the adaptive coefficients of edge constraint to find the optimal edge information during optimizing the objective function. Experiments on retina images demonstrate that the proposed algorithm outperforms other state-of-the-art methods, especially for the noise retina images with weak edges. © 2018 IEEE.

关键词： Optical resolving power

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αSetup-PCTL:An Adaptive Setup-Based Two-Level Preconditioner for Sequence of Linear Systems of Three-Temperature Energy Equations

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Communications in Computational Physics 2022年第10期32卷 1287-1309页

作者： Silu Huang Xiaoqiang Yue Xiaowen Xu Laboratory of Computational Physics Institute of Applied Physics and ComputationalMathematicsBeijing 100088China National Center for Applied Mathematics in Hunan Key Laboratory of Intelligent Computing and Information Processing of Ministry of EducationHunan Key Laboratory for Computation and Simulation in Science and EngineeringXiangtan UniversityXiangtan 411105China

The iterative solution of the sequence of linear systems arising from threetemperature(3-T)energy equations is an essential component in the numerical simulation of radiative hydrodynamic(RHD)***,due to the complicated application features of the RHD problems,solving 3-T linear systems with classical preconditioned iterative techniques is *** address this difficulty,a physicalvariable based coarsening two-level(PCTL)preconditioner has been proposed by dividing the fully coupled system into four individual easier-to-solve *** its nearly optimal complexity and robustness,the PCTL algorithm suffers from poor efficiency because of the overhead associatedwith the construction of setup phase and the solution of ***,the PCTL algorithm employs a fixed strategy for solving the sequence of 3-T linear systems,which completely ignores the dynamically and slowly changing features of these linear *** address these problems and to efficiently solve the sequence of 3-T linear systems,we propose an adaptive two-level preconditioner based on the PCTL algorithm,referred to as α*** adaptive strategies of the αSetup-PCTL algorithm are inspired by those of αSetup-AMG algorithm,which is an adaptive-setup-based AMG solver for sequence of sparse linear *** proposed αSetup-PCTL algorithm could adaptively employ the appropriate strategies for each linear system,and thus increase the overall *** results demonstrate that,for 36 linear systems,the αSetup-PCTL algorithm achieves an average speedup of 2.2,and a maximum speedup of 4.2 when compared to the PCTL algorithm.

关键词： Sequence of linear systems sparse linear solver preconditioning methods radiation hydrodynamics simulation

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