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检索条件"任意字段=Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition"

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WHY LINEAR ARRAYS ARE BETTER IMAGE PROCESSORS 12

WHY LINEAR ARRAYS ARE BETTER IMAGE PROCESSORS

引用

conference C on Signal Processing and conference D on Parallel computing, at the 12th IAPR international conference on pattern recognition

作者： JONKER, PP DELFT UNIV TECHNOL FAC APPL PHYSPATTERN RECOGNIT SECT2600 GA DELFTNETHERLANDS

ISBN: (纸本)0818662751

the four main characteristic architectures for low-level image processing are the Square Processor Array (SPA) or mesh, the Linear Processor Array (LPA) or scanning array, the Pipeline (PL) and the Pyramid (PYR). In this paper a theoretical study is presented which leads from a taxonomy of low-level image processing operations and a theoretical model of a nearest neighbour connected processor to the combinations of 7 possibilities to exchange parallel for sequential solutions when designing an architecture. the implementation of two "standard"image processing routines on the theoretical processor, skeletonization of a binary image and shading correction in a greyvalue image, while making the design decisions in line with the solutions commonly found in the four characteristic architectures, showed that Linear Processor Arrays when properly designed, seem to offer the best speed / efficiency combination even for processing images at video speed. © 1994 IEEE.

关键词： Architecture

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VLSI ARRAYS FOR SPEECH PROCESSING WIth LINEAR PREDICTIVE CODING 12

VLSI ARRAYS FOR SPEECH PROCESSING WITH LINEAR PREDICTIVE COD...

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conference C on Signal Processing and conference D on Parallel computing, at the 12th IAPR international conference on pattern recognition

作者： TANG, YY LI, T SUEN, CY CONCORDIA UNIV CTR PATTERN RECOGNIT & MACHINE INTELLIGENCEMONTREALPQ H3G 1M8CANADA

ISBN: (纸本)0818662751

the covariance analysis of linear predictive coding has wide applications, especially in speech recognition and speech signal processing. Real-time applications demand very high processing speed for linear predictive coding analysis. VLSI technology which possesses properties of low-cost, high-speed and massive computing capabilities is a suitable candidate. In this paper, systolic array processors for the covariance analysis of linear predictive coding are developed. the covariance analysis of linear predictive coding contains a large set of irregular and nested recurrence equations. Systolizing the algorithm is a difficulty task for such a complex problem. Existing methods of systematic design for systolic arrays are not much helpful to this problem. To overcome it, a break-combination method is presented in this paper. In this manner, the task is first decomposed and then mapped onto several interconnected systolic arrays. the resulting systolic arrays of the sub problems are then combined to form a complete solution. © 1994 IEEE.

关键词： Systolic arrays

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Complexity vs. Performance in Granular Embedding Spaces for Graph Classification 12th

Complexity vs. Performance in Granular Embedding Spaces for ...

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12th international Joint conference on Computational Intelligence (IJCCI) / 12th international conference on Evolutionary Computation theory and Applications (ECTA)

作者： Baldini, Luca Martino, Alessio Rizzi, Antonello Univ Roma La Sapienza Dept Informat Engn Elect & Telecommun Via Eudossiana 18 I-00184 Rome Italy

ISBN: (纸本)9789897584756

the most distinctive trait in structural pattern recognition in graph domain is the ability to deal with the organization and relations between the constituent entities of the pattern. Even if this can be convenient and/or necessary in many contexts, most of the state-of the art classification techniques can not be deployed directly in the graph domain without first embedding graph patterns towards a metric space. Granular computing is a powerful information processing paradigm that can be employed in order to drive the synthesis of automatic embedding spaces from structured domains. In this paper we investigate several classification techniques starting from Granular computing-based embedding procedures and provide a thorough overview in terms of model complexity, embedding space complexity and performances on several open-access datasets for graph classification. We witness that certain classification techniques perform poorly both from the point of view of complexity and learning performances as the case of non-linear SVM, suggesting that high dimensionality of the synthesized embedding space can negatively affect the effectiveness of these approaches. On the other hand, linear support vector machines, neuro-fuzzy networks and nearest neighbour classifiers have comparable performances in terms of accuracy, with second being the most competitive in terms of structural complexity and the latter being the most competitive in terms of embedding space dimensionality.

关键词： Structural pattern recognition Supervised Learning Embedding Spaces Granular computing Graph Edit Distances

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SURVEY OF PARALLEL ALGORIthMS FOR STRUCTURAL pattern MATCHING 12

SURVEY OF PARALLEL ALGORITHMS FOR STRUCTURAL PATTERN MATCHIN...

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conference C on Signal Processing and conference D on Parallel computing, at the 12th IAPR international conference on pattern recognition

作者： GUERRA, C UNIV PADUA DIPARTIMENTO ELETTR & INFORMATI-35100 PADUAITALY

ISBN: (纸本)0818662751

Matching is an important pari of a model-based object recognition system. Matching is a difficult task, for a number of reasons. First, in a number of recognition systems matching is formulated as a combinatorial problem with exponential worst-case complexity. thus, heuristics are needed to reduce the complexity by pruning the search space. Second, images do not present perfect data: noise and occlusion greatly complicate the task. Finally, even at moderate image resolutions the amount of data to be handled is such that this task cannot be done in real-time on supercomputers. Although no existing visual system can solve the general recognition problem, some existing approaches have obtained acceptable results for limited domains or simple scenes. Surveys of many sequential approaches to matching in recognition systems can be found in [2], [7], [18]. Comparatively, much less work has been done on parallel matching, despite the great need for speeding up the process. Parallel algorithms have oflen to be designed from scratch, and the recognition problem itself oflen requires reformulation since many of the proposed sequential algorithms do not lend themselves naturally to efficient parallel implementations. In this paper, we survey some of the existing parallel matching algorithms for 2D and 3D objects. Some of these algorithms have been implemented on SIMD architectures such as the Connection Machine or MasPar, or MIMD machines such as the Intel Touchstone Delta;other algorithms have been developed for the PRAM model of computation. © 1994 IEEE.

关键词： Parallel algorithms

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GPU-Based Fast Training of Discriminative Learning Quadratic Discriminant Function for Handwritten Chinese Character recognition

GPU-Based Fast Training of Discriminative Learning Quadratic...

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12th international conference on Document Analysis and recognition (ICDAR)

作者： Zhou, Ming-Ke Yin, Fei Liu, Cheng-Lin Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing 100190 Peoples R China

ISBN: (纸本)9781479901937

the discriminative training of classifiers for handwritten Chinese character recognition (HCCR) is highly demanding in computation due to the large number of categories. the inability of discriminative training with large sample set on personal computers has hindered the accuracy promotion for HCCR. To overcome this problem, we have implemented the training algorithm of discriminative learning quadratic discriminant function (DLQDF) on our graphics processing units (GPU) server, and have achieved 15 times speedup compared to single-core computation. By enlarging training sample set via distortion on a standard dataset of 3,755 classes, we could train the DLQDF on more than 50 million samples within 150min and get the test accuracy improved by 1.36%.

关键词： handwritten Chinese character recognition discriminative learning modified quadratic discriminant function GPU parallel computing sample synthesis

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ICDAR 2013 CROHME: third international Competition on recognition of Online Handwritten Mathematical Expressions

ICDAR 2013 CROHME: Third International Competition on Recogn...

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12th international conference on Document Analysis and recognition (ICDAR)

作者： Mouchere, Harold Viard-Gaudin, Christian Zanibbi, Richard Garain, Utpal Kim, Dae Hwan Kim, Jin Hyung Univ Nantes Ecole Polytech LUNAM IRCCyN IVC UMR CNRS 6597 F-44306 Nantes 03 France Rochester Inst Technol Dept Comp Sci Rochester NY 14623 USA Indian Stat Inst Comp Vision & Pattern Recognit Unit Kolkata India Korea Adv Inst Sci & Technol Taejon 305701 South Korea

We report on the third international Competition on Handwritten Mathematical Expression recognition (CROHME), in which eight teams from academia and industry took part. For the third CROHME, the training dataset was expanded to over 8000 expressions, and new tools were developed for evaluating performance at the level of strokes as well as expressions and symbols. As an informal measure of progress, the performance of the participating systems on the CROHME 2012 data set is also reported. Data and tools used for the competition will be made publicly available.

关键词： handwritten character recognition mathematics computing

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Saga pattern Technologies: A Criteria-based Evaluation 12

Saga Pattern Technologies: A Criteria-based Evaluation

引用

12th international conference on Cloud computing and Services Science (CLOSER)

作者： Duerr, Karolin Lichtenthaeler, Robin Wirtz, Guido Univ Bamberg Distributed Syst Grp Bamberg Germany

ISBN: (纸本)9789897585708

One challenge in Microservices Architectures is coordinating business workflows between services, for which the Saga pattern is frequently mentioned as a solution in the literature. this work presents a criteria catalog based on which existing technological solutions that help with Saga implementations can be qualitatively evaluated to enable an informed decision between them. It considers criteria relevant for the Saga pattern, microservices characteristics, and for operating a system in production. We use it to evaluate four technological solutions by implementing an exemplary use case. Due to their different origins, the technologies come with varying strengths and weaknesses and as a result no solution is superior. the results can help developers decide which technology to use and provide insights into what to consider when implementing the Saga pattern.

关键词： Microservices Saga pattern Workflow Engine Criteria-based

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proceedings - 2015 IEEE 12th international conference on Ubiquitous Intelligence and computing, 2015 IEEE 12th international conference on Advanced and Trusted computing, 2015 IEEE 15th international conference on Scalable computing and Communications, 2015 IEEE international conference on Cloud and Big Data computing, 2015 IEEE international conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015

Proceedings - 2015 IEEE 12th International Conference on Ubi...

引用

proceedings - 2015 IEEE 12th international conference on Ubiquitous Intelligence and computing, 2015 IEEE 12th international conference on Advanced and Trusted computing, 2015 IEEE 15th international conference on Scalable computing and Communications, 2015 IEEE international conference on Cloud and Big Data computing, 2015 IEEE international conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015

ISBN: (纸本)9781467372114

the proceedings contain 314 papers. the topics discussed include: recognizing gait pattern of Parkinson's disease patients based on fine-grained movement function features;SAPM: self-adjusting pipelining mechanism for efficient bulk data dissemination in smart homes;WSelector: a multi-scenario and multi-view worker selection framework for crowd-sensing;CrowdPic: a multi-coverage picture collection framework for mobile crowd photographing;an acoustic traffic monitoring system: design and implementation;an interpretable orientation and placement invariant approach for smartphone based activity recognition;characterising and predicting urban mobility dynamics by mining bike sharing system data;underground magnetic localization method and optimization based on simulated annealing algorithm;an adaptive demodulation structure for UHF RFID readers based on the phase of input signal;intelligently creating contextual tutorials for GUI applications;HyCPK: securing identity authentication in ubiquitous computing;context-aware trust-based management of vehicular ad-hoc networks (VANETs);and BWMesh: a multi-hop connectivity framework on Android for proximity service.

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Intensified Biological Signature recognition in the Wild: A Case Study 12

Intensified Biological Signature Recognition in the Wild: A ...

引用

12th international conference on computing Communication and Networking Technologies, ICCCNT 2021

作者： Gandhi, Vidhyotma Singh, Jaiteg Chitkara Institute of Engineering and Technology Chitkata University Punjab India

ISBN: (纸本)9781728185958

the biological signature recognition seems to be a solved problem, but when these systems are tested in the wild their accuracy collapsed abruptly. A case study of "Face recognition through Camera (FRTC)" was designed to make a state of art for biological signature recognition in the wild system with minimum data set required to provide the highest accuracy. the FRTC system was designed by integrating the best qualities of modern recognition systems present in recent times (OpenCV and Face API) to intensify the biological signature recognition in the wild. the case study FRTC would be tested with the classroom attendance without prior information to the students. It was expected that FRTC would be more accurate than OpenCV and Face API. the results have shown the FRTC is more accurate, 7.02% and ~1% than OpenCV and Face API respectively. © 2021 IEEE.

关键词： pattern matching

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Analysis and implementation of vehicle license plates detection and recognition tool 12

Analysis and implementation of vehicle license plates detect...

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12th international conference on Software Process Improvement (CIMPS)

作者： Valdiviezo Saul, Maldonado Santacruz Eduardo, Vazquez Univ Autonoma Metropolitana Dept Matemat Mexico City Mexico

ISBN: (纸本)9798350358568

Vehicle license plate detection and recognition it's a multi stage process, image pre- processing, license plate location, character location and recognition. We analyzed the multiple methodology used during this process, their features and results and implemented an algorithm that executes it. We applied a hybrid algorithm for plate location, a mathematical one for segmentation and a convolutional neural network for recognition, obtaining 98% in segmentation and recognition.

关键词： Digital image License plate detection Machine learning Software engineering pattern recognition

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