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检索条件"任意字段=2021 10th International Conference on Computing and Pattern Recognition"

共 1675 条记录，以下是71-80 订阅

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HYBRID OPTICAL-DIGITAL IMAGE PROCESSING SYSTEM FOR pattern recognition.

HYBRID OPTICAL-DIGITAL IMAGE PROCESSING SYSTEM FOR PATTERN R...

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10th international Optical computing conference.

作者： Merkle, F.

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Video Camera Identification from Sensor pattern Noise with a Constrained ConvNet 10th

Video Camera Identification from Sensor Pattern Noise with a...

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10th international conference on pattern recognition Applications and Methods (ICPRAM)

作者： Timmerman, Derrick Bennabhaktula, Guru Swaroop Alegre, Enrique Azzopardi, George Univ Groningen Bernoulli Inst Math Comp Sci & Artificial Intelli Groningen Netherlands Univ Leon Grp Vis & Intelligent Syst Leon Spain

ISBN: (纸本)9789897584862

the identification of source cameras from videos, though it is a highly relevant forensic analysis topic, has been studied much less than its counterpart that uses images. In this work we propose a method to identify the source camera of a video based on camera specific noise patterns that we extract from video frames. For the extraction of noise pattern features, we propose an extended version of a constrained convolutional layer capable of processing color inputs. Our system is designed to classify individual video frames which are in turn combined by a majority vote to identify the source camera. We evaluated this approach on the benchmark VISION data set consisting of 1539 videos from 28 different cameras. To the best of our knowledge, this is the first work that addresses the challenge of video camera identification on a device level. the experiments show that our approach is very promising, achieving up to 93:1% accuracy while being robust to the WhatsApp and YouTube compression techniques. this work is part of the EU-funded project 4NSEEK focused on forensics against child sexual abuse.

关键词： Source Camera Identification Video Device Identification Video Forensics Sensor pattern Noise

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Enhancing English-Japanese Translation Using Syntactic pattern recognition Methods 10th

Enhancing English-Japanese Translation Using Syntactic Patte...

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10th international conference on Computer recognition Systems (CORES)

作者： McMahon, thomas Oommen, B. John Carleton Univ Sch Comp Sci Ottawa ON Canada

ISBN: (纸本)9783319591629

In this paper, we present a novel approach to Machine Translation (MT) using syntactic pattern recognition (PR) methods. Our aim is to evaluate the possibility of using syntactic PR techniques in this mature field, and to identify any potential benefits that can be gleaned by such an approach. To make use of syntactic PR techniques, we propose a system that performs string-matching to pair English sentence structures to Japanese (the specific languages, namely English and Japanese, were chosen because their sentence structures are completely dissimilar. this, however, proves the point that such syntactic methods will be applicable for other pairs of languages too.) structures -as opposed to matching strings in and of themselves, and to thus facilitate translation between the languages. In order to process the sentence structures of either language as a string, we have created a representation that replaces the tokens of a sentence with their respective Part-of-Speech tags. Further, to perform the actual string-matching operation, we make use of the OptPR algorithm, a syntactic award-winning PR scheme that has been proven to achieve optimal accuracy, and that also attains the information theoretic bound. through our experiments, we show that our implementation obtains superior results to that of a standard statistical MT system on our data set. Our results provide the additional guarantee of generating a known sentence structure in the target language. With further research, this system could be expanded to have a more complete coverage of the languages worked with. the incorporation of such PR techniques in MT, in general, and the OptPR algorithm, in particular, are both pioneering.

关键词： Machine Translation (MT) Syntactic Methods in MT

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Issues in performance evaluation: A case study of math recognition

Issues in performance evaluation: A case study of math recog...

引用

ICDAR2009 - 10th international conference on Document Analysis and recognition

作者： Lapointe, Adrien Blostein, Dorothea School of Computing Queen's University Kingston ON Canada

ISBN: (纸本)9780769537252

Performance evaluation of document recognition systems is a difficult and practically important problem. Issues arise in defining requirements, in characterizing the system's range of inputs and outputs, in interpreting published performance evaluation results, in reproducing performance evaluation experiments, in choosing training and test data, and in selecting performance metrics. We discuss these issues in the context of evaluating systems for recognition of mathematical expressions. Excellent progress has been made in the theory and practice of performance evaluation, but many open problems remain. © 2009 IEEE.

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pattern recognition comparative analysis applied to fingerprint indoor mobile sensors localization

Pattern recognition comparative analysis applied to fingerpr...

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10th IEEE international conference on Computer and Information Technology, CIT-2010, 7th IEEE international conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable computing and Communications, ScalCom-2010

作者： Aviles, Jose Vicente Marti Prades, Raul Marin Dpto Ingenieria y Ciencia de los Computadores Universitat Jaume I Castellon Spain Intelligent Robotics Laboratory Universitat Jaume I Castellon Spain

ISBN: (纸本)9780769541082

Location Fingerprinting methods are an alternative to accurate localization of mobile sensors and actuators in indoor environments, which learn a radio map for a given scenario and use this information for recognizing the position of a given node at a particular moment. In fact, when using other conventional methods in complex scenarios that may present irregular geometries and materials, fingerprinting techniques can be a very good alternative. Moreover, although they need a previous training of a knowledge database for each scenario, once this is done the method runs in a quite stable and accurate manner without needing any sophisticated hardware. In this paper we present a comparation between the CC2431 Texas Instruments Location Engine and two pattern recognition methods applied to fingerprinting localization in several indoor scenarios in our university. Results show that this kind of technique is very interesting for known environments such as warehouses, universities and so on. © 2010 IEEE.

关键词： Location

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A Novel Approach to Find patterns of Supplier

A Novel Approach to Find Patterns of Supplier

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3rd international Workshop on e-Activity (IWEA2009)/10th ACIS international conference on Software Engineering Artificial Intelligence, Networking and Parallel/Distributed computing

作者： Xu, Xu Lin, Jie Tongji Univ Sch Econ & Management Shanghai 200092 Peoples R China

ISBN: (纸本)9780769536422

Supplier selection and evaluation are one of the most critical activities of a company in today's competitive business world. Partnering with the suppliers has become a key factor to the success of an organization. the selection of supplier satisfying different evaluation criteria, is therefore of main importance and builds the topic of this paper this selection process is a difficult decision and optimization problem, such as data mining technology. this paper utilizes an integrated approach to find the interesting pattern Of supplier. this research has employed a numerical example for the explanation of the proposed approach, and the results show that the method is effective and applicable for supplier selection. In short, the approach provides a new route to guide the further research concerning supplier research.

关键词： Data envelopment analysis Computer network management conference management Engineering management Companies Expert systems Software engineering Artificial intelligence Intelligent networks Competitive intelligence

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Semi-automatic distribution pattern modeling of web service compositions using semantics

Semi-automatic distribution pattern modeling of web service ...

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10th IEEE international Enterprise Distributed Object computing conference (EDOC)

作者： Barrett, Ronan Pahl, Claus Dublin City Univ Sch Comp Dublin 9 Ireland

ISBN: (纸本)076952558X

Enterprise systems are frequently built by combining a number of discrete Web set-vices together, a process termed composition. there are a number of architectural configurations or distribution patterns, which express how a composed system is to be deployed. Previously, we presented a Model Driven Architecture using UML 2.0, which took existing service interfaces as its input and generated an executable Web service composition, guided by a distribution pattern model. In this paper, we propose using Web service semantic descriptions in addition to Web service interfaces, to assist in the semi-automatic generation of the distribution pattern model. Web services described using semantic languages, such as OWL-S, can be automatically assessed for compatibility and their input and output messages can be mapped to each other.

关键词： Web services

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A LOSSLESS IMAGE COMPRESSION ALGORIthM USING VARIABLE BLOCK SIZE SEGMENTATION 12

A LOSSLESS IMAGE COMPRESSION ALGORITHM USING VARIABLE BLOCK ...

引用

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

作者： RANGANAthAN, N ROMANIUK, SG NAMUDURI, KR Center for Microelectronics Research University of South Florida Tampa 33620 FL United States Department of Information Systems National University of Singapore 10 Kent Ridge Singapore 0511 Singapore GTE Information Systems 201 N. Fraklin Street Tampa 33602 FL United States

ISBN: (纸本)0818662751

In this paper, we present an analysis of two image characteristics which give rise to local and global redundancy in image representation. Based on this study, we propose a lossless image compression scheme which exploits both types of redundancy. the algorithm segments the image into variable size blocks and encodes them depending on characteristics exhibited by the pixels within the block. the performance of the proposed algorithm is studied by software implementation. the proposed algorithm works better than other lossless compression schemes such as the Huffman, the arithmetic, the Lempel-Ziv and the JPEG. © 1994 IEEE.

关键词： Redundancy

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Mean AR-Local Binary pattern For Facial Expressions Classification Based on KNN Classifier 10

Mean AR-Local Binary Pattern For Facial Expressions Classifi...

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17th INDIACom;2023 10th international conference on computing for Sustainable Global Development, INDIACom 2023

作者： Srilatha, Narubonia Reddy, Lokeswara Computer Science and Engineering Jntua Ananthapur India Computer Science and Engineering Kadapa India

ISBN: (纸本)9789380544472

According to its significance, facial expression recognition (FER) has reached an incredibly prominent position in the field of image processing, beginning in the 1990s and continuing to the present day. Face recognition, feature extraction, and face categorization are the three common steps in FER. In contrast to the various FER systems described for recognizing just part of face expressions, the system presented in this study can identify all eight fundamental facial emotions (neutral, pleased, angry, contempt, surprise, sad, fear, and disgust). We employ the Japanese Female Facial Expression (JAFFE) and the Extended Cohn-Kanade (CK+) datasets to verify our results. the presented methods LBP patterns in this work namely, Asymmetric Region LBP(AR-LBP), Mean Asymmetric Region LBP (Mean AR-LBP), We used GLCM feature extractor technique for feature selection. For the given input image, the GLCM calculates different features factors named Contrast, Correlation, and Homogeneity, Entropy, Mean, variance, and dissimilarity which were results to a feature vector. the findings of the given approach, which employed K-Nearest Neighbor (KNN) to categories facial emotions, are then contrasted with those of the standard LBP pattern. the recognition rate utilizing the provided technique is 96% for the CK + data set and 97% for the JAFFE data set, as shown by the testing results. © 2023 Bharati Vidyapeeth, New Delhi.

关键词： Emotion recognition

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Evolution of Quantum computing Based on Grover's Search Algorithm 10

Evolution of Quantum Computing Based on Grover's Search Algo...

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10th international conference on computing, Communication and Networking Technologies (ICCCNT)

作者： Shrivastava, Prakhar Soni, Kapil Kumar Rasool, Akhtar Maulana Azad Natl Inst Technol Comp Sci Engn Bhopal India

ISBN: (纸本)9781538659069

Quantum computing introduces an efficient way for unfolding complex problems on computing systems. It uses concept of superposition and entanglement, & hence supports intrinsic parallelism for obtaining the speedup in context of time over classical computing. Quantum algorithms can be efficiently implemented over quantum computing system. Most popular quantum algorithms like Grover's and Shor's provide a great foundation to specifically design the algorithms. these algorithms work on improving the lower runtime bounds of classical algorithms. Grover's algorithm exhibits a quadratic polynomial speedup while searching an element among 'N' elements unstructured database. the algorithmic strategy can be applied over various computer science related applications and some important are being considered in this article i.e. pattern matching, data mining and machine learning. this article explores quantum fundamentals;history based evolution followed by Grover's search algorithm in detail with cascading advantages, limitations & applications and also finally concludes with the significance of quantum computing & quantum algorithmic domains.

关键词： Quantum computing Grover's Algorithm pattern Matching Qubit Superposition Data Mining Machine Learning

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