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14th IAPR International Conference on Document analysis and Recognition (ICDAR)

作者： Sudholt, Sebastian Rothacker, Leonard Fink, Gernot A. Tech Univ Dortmund Univ Dept Comp Sci D-44221 Dortmund Germany

ISBN: (纸本)9781538635865

A word spotting system is in large parts characterized by the query modalities it is able to process. the most common modalities here are Query-by-Example and Query-by-String. However, recently a new query type has been proposed: In Query-by-Online-Trajectory (QbO) the query is presented as a set of online-handwritten trajectories. In this work we devise a cross-domain word spotting framework using CNNs which is able to accomplish the QbO task. In particular, we design two different QbO systems which we evaluate in a number of experiments. We are not only able to outperform the current state of the art in QbO word spotting but also show that a system using a single CNN for both online and offline data achieves superior results compared to a system that uses a CNN for each domain individually.

关键词： Trajectory Hidden Markov models Histograms Image segmentation visualization Feature extraction Training

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Grouping of Customer Opinions Written in Natural Language Using Unsupervised Machine Learning

Grouping of Customer Opinions Written in Natural Language Us...

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14th International symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

作者： Darena, Frantisek Zizka, Jan Burda, Karel Mendel Univ Brno Fac Business & Econ Dept Informat Brno Czech Republic

ISBN: (纸本)9780769549347;9781467350266

Among one of the current and most topical tasks in the area of textual documents processing belongs the problem of automatic categorization. Clustering as the most common form of unsupervised learning enables automatic grouping of unlabeled documents into subsets called clusters. In this paper, the authors are concerned with results of clustering of very large electronic real-world data collections containing customers' reviews written freely, in English as a natural language. the reviews are automatically clustered into two groups that should contain either positive or negative reviews. the paper focuses on the analysis why certain reviews are assigned wrongly to a group containing mostly reviews of a different class. the assignment of a review into a certain cluster is based on its properties, i.e., on the words that appeared in the review. thus, words appearing in incorrectly categorized reviews were analyzed. It was found that words that are important from the correct classification viewpoint (and thus bearing some sentiment) are often similarly important as the words in a different set than expected, therefore do not take effect as misleading information unlike words that are much more or quite insignificant.

关键词： cluster mining incorrect categorization textual data similarity customer opinion

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the Spatial Logic of large-Scale Planned Shopping Mall: An Empirical Study Employing Visibility Graph analysis 14

The Spatial Logic of Large-Scale Planned Shopping Mall: An E...

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14th International Space Syntax symposium, SSS 2024

作者： Nusrat, Fahmida Hossain, Nasreen Department of Architecture Primeasia University Dhaka Bangladesh Dhaka Bangladesh

ISBN: (纸本)9791256690329

this study examines the role of spatial configuration on consumer movement behavior in terms of their physical footfall pattern and place-specific intensity in a large-scale, multi-leveled, planned shopping mall. the overly grand modern malls with multiple floors, usually produce an overwhelming amount of rentable spaces that stretch deep. Hence the enormous interior adopts an extravagant display of retail mix adorned with a labyrinth of shopping aisles that ultimately determine the circulation pattern as well as the overall spatial configuration of the mall. However, ensuring a steady intensity of consumers in every space of every level remains a challenge. In this regard, almost little or no research has been attempted in Dhaka where such malls are considered an outcome of Westernized influence since the last decade of the twentieth century. Rooting on this contextual urge, the research is designed by selecting one of the pioneering malls of the city as a representative case. Visibility Graph analysis was conducted for all eight levels of the mall, followed by the ‘Gate method’ to obtain movement data. the findings show that the configuration generated by spatial clustering of retail units plays a certain impact on movement distribution. Clusters with more shops have higher movement intensity even if their apparent spatial character seems complicated, whereas clusters with fewer shops fail to attract enough footfall. Even though in both cases, the vertical circulation means within and adjacent to the clusters are evenly distributed, the visual connections and spatial articulations of primary, secondary, and tertiary corridors within these clusters play a significant role in creating such impacts. © 14th International Space Syntax symposium, SSS 2024.

关键词： Shopping centers

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Performance analysis of a file catalog for the LHC computing grid 05

Performance analysis of a file catalog for the LHC computing...

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14th IEEE International symposium on High Performance Distributed Computing, HPDC-14

作者： Baud, Jean-Philippe Casey, James Lemaitre, Sophie Nicholson, Caitriana CERN European Organization for Nuclear Research 1211 Geneva Switzerland University of Glasgow Glasgow G12 8QQ United Kingdom

ISBN: (纸本)0780390377

the large Hadron Collider (LHC) at CERN, the European Organization for Nuclear Research, will produce unprecedented volumes of data when it starts operation in 2007. To provide for its computational needs, the LHC Computing Grid (LCG) will be deployed as a worldwide computational grid service, providing the middleware upon which the physics analysis for the LHC will be carried out. In 2003, versions of this middleware were deployed which were based on the middleware produced by the European data Grid project (EDG). In 2004 the LCG-2 release, which consisted of the EDG middleware with some minor modifications, was deployed for use by the LHC experiments. A series of data challenges by these experiments were the first real experiment production use of LCG. During the course of the data challenges, many issues and problems were exposed which had not shown up in more limited tests. the deployment, service and development teams worked closely with the experiments to understand these issues and while some of the problems were solved during the data challenges, others exposed fundamental problems with the middleware as deployed in LCG-2. One of these fundamental problems was the performance under real load of the catalog component provided by EDG, the Replica Location Service. To solve these problems a new component was designed, the LCG File Catalog (LFC). the LFC moves away from the Replica Location Service model used in previous LCG releases, towards a hierarchical filesystem model which is more like a UNIX filesystem. It also adds missing functionality which was requested by the experiments. this paper presents the architecture and implementation of the LFC and evaluates it in a series of performance tests, with up to forty million entries and one hundred requesting threads from multiple clients. the results show good scalability up to the limits of these tests, and compare favourably with other Grid catalog implementations. ©2005 IEEE.

关键词： Distributed computer systems

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data-based latent variable methods for process analysis, monitoring and control

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COMPUTERS & CHEMICAL ENGINEERING 2005年第6期29卷 1217-1223页

作者： MacGregor, JF Yu, HL Muñoz, SG Flores-Cerrillo, J McMaster Univ Dept Chem Engn McMaster Adv Control Consortium Hamilton ON L8S 4L7 Canada

this paper gives an overview of methods for utilizing large process data matrices. these data matrices are almost always of less than full statistical rank, and therefore, latent variable methods are shown to be well suited to obtain useful subspace models from them for treating a variety of important industrial problems. An overview of the important concepts behind latent variable models is presented and the methods are illustrated with industrial examples in the following areas: (i) the analysis of historical databases and trouble-shooting process problems;(ii) process monitoring and FDI;(iii) extraction of information from novel multivariate sensors;(iv) process control in reduced dimensional subspaces. In each of these problems, latent variable models provide the framework on which solutions are based. (c) 2005 Elsevier Ltd. All rights reserved.

关键词： PCA PLS monitoring control digital imaging machine vision

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A large scale analysis of hundreds of in-memory cache clusters at Twitter 14

A large scale analysis of hundreds of in-memory cache cluste...

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14th USENIX symposium on Operating Systems Design and Implementation (OSDI)

作者： Yang, Juncheng Yue, Yao Rashmi, K., V Carnegie Mellon Univ Pittsburgh PA 15213 USA Twitter San Francisco CA USA

ISBN: (纸本)9781939133199

Modern web services use in-memory caching extensively to increase throughput and reduce latency. there have been several workload analyses of production systems that have fueled research in improving the effectiveness of in-memory caching systems. However, the coverage is still sparse considering the wide spectrum of industrial cache use cases. In this work, we significantly further the understanding of real-world cache workloads by collecting production traces from 153 in-memory cache clusters at Twitter, sifting through over 80 TB of data, and sometimes interpreting the workloads in the context of the business logic behind them. We perform a comprehensive analysis to characterize cache workloads based on traffic pattern, time-to-live (TTL), popularity distribution, and size distribution. A fine-grained view of different workloads uncover the diversity of use cases: many are far more write-heavy or more skewed than previously shown and some display unique temporal patterns. We also observe that TTL is an important and sometimes defining parameter of cache working sets. Our simulations show that ideal replacement strategy in production caches can be surprising, for example, FIFO works the best for a large number of workloads.

关键词： Web services

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Investigation of biomass pyrolysis by thermogravimetric analysis and differential scanning calorimetry

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JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS 2001年 58卷 765-780页

作者： Stenseng, M Jensen, A Dam-Johansen, K Tech Univ Denmark Dept Chem Engn DK-2800 Lyngby Denmark

the influence of sample size on the pyrolysis of wheat straw and three types of cellulose has been investigated by simultaneous thermogravimetric analysis and differential scanning calorimetry. Samples between 2 and 20 mg were pyrolyzed to a maximum temperature of 600 degreesC at a heating rate of 40 degreesC min(-1). It was found that sample size had a large effect on the pyrolysis of Avicel cellulose;the mass loss peak was shifted to higher temperatures at higher sample mass. However, the effect of sample mass on the pyrolysis of wheat straw was insignificant. In wheat straw samples washed in water to reduce the KCl content, the influence of sample size was between that of cellulose and straw, but closer to straw. A model for the TGA/DSC-system has been developed, which includes heat transfer by both convection and radiation to the two crucibles and the sample. Simulations with the model showed that the sample mass had a large influence on the pyrolysis at high heat of reaction and in agreement with data, the pyrolysis peak shifts to higher temperatures at higher sample mass. the recommendation found in the literature that samples should be no larger than 1 mg in TGA measurements must be limited to biomass samples with a high heat of reaction such as cellulose. (C) 2001 Elsevier Science B.V. All rights reserved.

关键词： cellulose straw TGA DSC thermal lag

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Visual analysis of Industrial Multivariate Time Series 21

Visual Analysis of Industrial Multivariate Time Series

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14th International symposium on Visual Information Communication and Interaction, VINCI 2021

作者： Musleh, Maath Chatzimparmpas, Angelos Jusufi, Ilir Linnaeus University Vaxjo Sweden

ISBN: (纸本)9781450386470

the recent development in the data analytics field provides a boost in production for modern industries. Small-sized factories intend to take full advantage of the data collected by sensors used in their machinery. the ultimate goal is to minimize cost and maximize quality, resulting in an increase in profit. In collaboration with domain experts, we implemented a data visualization tool to enable decision-makers in a plastic factory to improve their production process. We investigate three different aspects: methods for preprocessing multivariate time series data, clustering approaches for the already refined data, and visualization techniques that aid domain experts in gaining insights into the different stages of the production process. Here we present our ongoing results grounded in a human-centered development process. We adopt a formative evaluation approach to continuously upgrade our dashboard design that eventually meets partners' requirements and follows the best practices within the field. © 2021 ACM.

关键词： visualization

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Exploration of a song collection from a visualization interface based on analysis of the lyrics 14

Exploration of a song collection from a visualization interf...

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14e Journees Internationales Francophones sur l'Extraction et la Gestion des Connaissances, EGC 2014 - 14th International French-Speaking Conference on Knowledge Extraction and Management, EGC 2014

作者： Kessler, Rémy Laplante, Audrey Forest, Dominic Université de Montréal C.P. 6128 succursale Centre-ville MontréalH3C 3J7 Canada

ISBN: (纸本)9782705688417

In this paper, we present a text mining methodology and an information visualization interface that allows users to browse a large collection of French-language songs based on lyrics. We first harvested lyrics and metadata from various sources on the Web. After data preprocessing, we used clustering and Latent Semantic analysis to identify a thematic structure and determine significant *** then transformed the resulting model into a set of nodes and edges to obtain an interactive visualization system for the exploration of our song collection.

关键词： Semantics

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Analyzing the relation between heart rate, problem behavior, and environmental events using data mining system LERS

Analyzing the relation between heart rate, problem behavior,...

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14th IEEE symposium on Computer-Based Medical Systems (CBMS 2001)

作者： Freeman, RL Grzymala-Busse, JW Riffel, LA Schroeder, SR Univ Kansas Inst Life Span Studies Bur Child Res Lawrence KS 66045 USA

ISBN: (纸本)0769510043

the relation between physiological events, environmental factors, and the occurrence of problem behavior in natural settings was analyzed using data mining system LERS (Learning from Examples based on Rough Sets). data on heart rate were linked to environmental and behavioral data coded from videotapes of one adult subject diagnosed with severe mental retardation and who engaged in problem behavior, Tile results of the analysis suggest that using data mining system LERS it-ill be a valuable strategy, for exploring large data sets that include heart rate, environmental, and behavioral measures.

关键词： data mining

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