Relevant bibliographies by topics / Pattern Matching Techniques

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Pattern Matching Techniques'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Pattern Matching Techniques"

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Burchell, Noel, and Darl Kolb. "Pattern Matching Organisational Cultures." Journal of Management & Organization 9, no. 3 (2003): 50–61. http://dx.doi.org/10.1017/s1833367200004703.

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ABSTRACTThere are numerous methods of organisational cultural analysis, ranging from quantitative surveys with structured questions that are relatively quick to complete, to in-depth qualitative ethnographic studies that are more thorough, yet very time-consuming. Concept Mapping and Pattern Matching are two research techniques that combine the strengths of interpretive (emic) methods with some of the efficiencies of survey (etic) research. While Trochim's Concept Mapping technique has been previously employed in a study of organisational culture, Pattern Matching has not. The results of a stu
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Burchell, Noel, and Darl Kolb. "Pattern Matching Organisational Cultures." Journal of the Australian and New Zealand Academy of Management 9, no. 3 (2003): 50–61. http://dx.doi.org/10.5172/jmo.2003.9.3.50.

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ABSTRACTThere are numerous methods of organisational cultural analysis, ranging from quantitative surveys with structured questions that are relatively quick to complete, to in-depth qualitative ethnographic studies that are more thorough, yet very time-consuming. Concept Mapping and Pattern Matching are two research techniques that combine the strengths of interpretive (emic) methods with some of the efficiencies of survey (etic) research. While Trochim's Concept Mapping technique has been previously employed in a study of organisational culture, Pattern Matching has not. The results of a stu
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Manfaat, D., A. H. B. Duffy, and B. S. Lee. "Review of pattern matching approaches." Knowledge Engineering Review 11, no. 2 (1996): 161–89. http://dx.doi.org/10.1017/s0269888900007815.

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AbstractThis paper presents a review of pattern matching techniques. The application areas for pattern matching are extensive, ranging from CAD systems to chemical analysis and from manufacturing to image processing. Published techniques and methods are classified and assessed within the context of three key issues: pattern classes, similarity types and matching methods. It has been shown that the techniques and approaches are as diverse and varied as the applications.
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Grosky, William I., and Yi Lu. "Iconic indexing using generalized pattern matching techniques." Computer Vision, Graphics, and Image Processing 35, no. 3 (1986): 383–403. http://dx.doi.org/10.1016/0734-189x(86)90007-1.

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RANGANATHAN, N., and RAGHU SASTRY. "VLSI ARCHITECTURES FOR PATTERN MATCHING." International Journal of Pattern Recognition and Artificial Intelligence 08, no. 04 (1994): 815–43. http://dx.doi.org/10.1142/s0218001494000425.

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The recognition of patterns is an important task in robot and computer vision. The patterns themselves could be one- or two-dimensional, depending upon the application. Pattern matching is a computationally intensive and time consuming operation. The design of special purpose hardware could speed up the matching task considerably, making real-time responses possible. Advances in parallel processing and VLSI technologies have made it possible to implement inexpensive, efficient and very fast custom designs. Many approaches and solutions have been proposed in the literature for hardware implemen
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Smith, D. K., S. Q. Hoyle, and G. G. Johnson. "Phase Identification using Whole-Pattern Matching." Advances in X-ray Analysis 36 (1992): 287–99. http://dx.doi.org/10.1154/s0376030800018905.

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AbstractThe use of whole-pattern matching techniques for phase identification provides increased confidence in the phases determined compared with d-I matching and enhances the potential for determining the existence of phases present in low concentrations. Reference patterns from a database of selected phases were compared with the experimental pattern obtained from an unknown, and the results were ranked using figures-of-merit designed to distinguish the best pattern matches. Several different figures-of-merit have been evaluated, all of which proved successful in recognizing the strongest p
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Uma, K. "Encoding of Multifaceted Images using Pattern Matching Techniques." Indian Journal of Science and Technology 9, no. 1 (2016): 1–13. http://dx.doi.org/10.17485/ijst/2017/v9is1/100674.

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Yu, Xin Qiu, Li Xia Fan, Hong Xia Zhang, Yu Xian Chen, Pei Lin Yang, and Zhe Feng Wang. "Accessories’ Matching Design Study and Development." Advanced Materials Research 605-607 (December 2012): 304–7. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.304.

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The style of romanticism is treated as the main garment and the independent development of apparel fabrics as the point cut. The matching design of fashion accessories combined with the patterns, colors, styles, materials, functions and so on. The main manufacturing techniques were the pattern weaving technique, heat transfer digital printing method and weaving and printing combined multiple processing comprehensive approaches. Meanwhile, a set of spring and summer bags and hats were designed, achieved good application effects.
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Gacitua-Decar, Veronica, and Claus Pahl. "Structural Process Pattern Matching Based on Graph Morphism Detection." International Journal of Software Engineering and Knowledge Engineering 27, no. 02 (2017): 153–89. http://dx.doi.org/10.1142/s0218194017500073.

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Context: Processes are central to the operation of many systems or organizations. Process-centric systems, ranging from enterprise workflow systems to open distributed service compositions, have significantly increased in number and complexity. Objective: Designers of process-centric systems can benefit from process abstractions (including patterns) capturing and allowing the reuse of designs for frequent operational problems. Existing process patterns detection techniques have efficiency problems and difficulties to identify partial and inexact pattern instances. Method: We propose a process
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GUSTAFSSON, PER, and KONSTANTINOS SAGONAS. "Efficient manipulation of binary data using pattern matching." Journal of Functional Programming 16, no. 1 (2005): 35–74. http://dx.doi.org/10.1017/s0956796805005745.

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Pattern matching is an important operation in functional programs. So far, pattern matching has been investigated in the context of structured terms. This article presents an approach to extend pattern matching to terms without (much of a) structure such as binaries which is the kind of data format that network applications typically manipulate. After introducing the binary datatype and a notation for matching binary data against patterns, we present an algorithm that constructs a decision tree automaton from a set of binary patterns. We then show how the pattern matching using this tree autom
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Dissertations / Theses on the topic "Pattern Matching Techniques"

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Kontoyiannis, Konstantinos A. "Pattern matching techniques for program understanding." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=42070.

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When a successful software system is maintained and evolved for an extended period of time, original design documents become obsolete and design rationales become lost, so reverse engineering activities to reconstruct such information become critical for the software's continued viability.<br>Pattern matching provides a solid framework for identifying higher level abstractions that may be instances of predefined plans (commonly used algorithms and cliches), programming concepts, or abstract data types and operations. This thesis discusses two types of pattern-matching techniques developed for
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Kontoyiannis, Konstantinos A. "Pattern matching techniques for program understanding." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0001/NQ30312.pdf.

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Pienkowski, A. "Fuzzy techniques in digital image processing for artificial colour matching." Thesis, University of Essex, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383526.

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Irniger, Christophe-André. "Graph matching filtering databases of graphs using machine learning techniques." Berlin Aka, 2005. http://deposit.ddb.de/cgi-bin/dokserv?id=2677754&prov=M&dok_var=1&dok_ext=htm.

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Park, Gwangcheol. "Multiscale deformable template matching for image analysis." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/13737.

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Thayyoor, Jaishankar. "Vision techniques applied to pattern extraction and matching for the purpose of 3D back reconstruction." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ34427.pdf.

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Bayne, Ethan. "Accelerating digital forensic searching through GPGPU parallel processing techniques." Thesis, Abertay University, 2017. https://rke.abertay.ac.uk/en/studentTheses/702de12a-e10b-4daa-8baf-c2c57a501240.

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Background: String searching within a large corpus of data is a critical component of digital forensic (DF) analysis techniques such as file carving. The continuing increase in capacity of consumer storage devices requires similar improvements to the performance of string searching techniques employed by DF tools used to analyse forensic data. As string searching is a trivially-parallelisable problem, general purpose graphic processing unit (GPGPU) approaches are a natural fit. Currently, only some of the research in employing GPGPU programming has been transferred to the field of DF, of which
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Rajendran, Venkatprabhu. "Recognizing Table Formatting From Text Files." Miami University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=miami1165610803.

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Barat, Cécile. "Palpage virtuel : une nouvelle approche morphologique pour la mise en correspondance d’objets (Pattern Matching) dans les images à niveaux de gris." Saint-Etienne, 2004. http://www.theses.fr/2004STET4018.

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Ce travail de thèse propose en approche originale au problème de la mise en correspondance d’objets à niveaux de gris fondée su r un nouveau concept : le double palpage virtuel d’image (VDIP). Grâce à ce concept, plusieurs contributions au domaine sont apportées : - Une nouvelle transformée de mise en correspondance d’objets à niveaux de gris est présentée, offrant les propriétés théoriques suivantes : invariance par translation, invariance aux changements d’illumination ou de contraste, sélectivité, robustesse au bruit impulsionnel et facilité d’implémentation. Plusieurs déclinaisons de cette
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Taylor, Pamela A. 1941. "Exon/Intron Discrimination Using the Finite Induction Pattern Matching Technique." Thesis, University of North Texas, 1997. https://digital.library.unt.edu/ark:/67531/metadc277629/.

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DNA sequence analysis involves precise discrimination of two of the sequence's most important components: exons and introns. Exons encode the proteins that are responsible for almost all the functions in a living organism. Introns interrupt the sequence coding for a protein and must be removed from primary RNA transcripts before translation to protein can occur. A pattern recognition technique called Finite Induction (FI) is utilized to study the language of exons and introns. FI is especially suited for analyzing and classifying large amounts of data representing sequences of interest. It
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Books on the topic "Pattern Matching Techniques"

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Irniger, Christophe-André Mario. Graph matching: Filtering databases of graphs using machine learning techniques. AKA, 2005.

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Template matching techniques in computer vision: Theory and practice. Wiley, 2009.

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Model-based image matching using location. MIT Press, 1985.

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service), SpringerLink (Online, ed. Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection. Springer Berlin Heidelberg, 2012.

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Wiskott, Laurenz. Labeled graphs and dynamic link matching for face recognition and scene analysis. Deutsch, 1995.

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Bir, Bhanu, Shen J, Zhang T, et al., eds. Image matching and analysis: 22-24 October 2001, Wuhan, China. SPIE, 2001.

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Pattern Recognition and String Matching. Springer London, Limited, 2011.

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(Editor), Dechang Chen, and Xiuzhen Cheng (Editor), eds. Pattern Recognition and String Matching (Combinatorial Optimization). Springer, 2003.

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Christen, Peter. Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection. Springer, 2012.

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Christen, Peter. Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection. Springer, 2014.

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Book chapters on the topic "Pattern Matching Techniques"

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Visser, Eelco. "Strategic Pattern Matching." In Rewriting Techniques and Applications. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48685-2_3.

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Grossi, Roberto. "Text Indexing, Suffix Sorting, and Data Compression: Common Problems and Techniques." In Combinatorial Pattern Matching. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02441-2_4.

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Gräf, Albert. "Left-to-right tree pattern matching." In Rewriting Techniques and Applications. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-53904-2_107.

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Régnier, Mireille, and Wojciech Szpankowski. "Complexity of Sequential Pattern Matching Algorithms." In Randomization and Approximation Techniques in Computer Science. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49543-6_16.

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Bar-Yossef, Ziv, T. S. Jayram, Robert Krauthgamer, and Ravi Kumar. "The Sketching Complexity of Pattern Matching." In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27821-4_24.

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Ramesh, R., and I. V. Ramakrishnan. "Optimal speedups for parallel pattern matching in trees." In Rewriting Techniques and Applications. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/3-540-17220-3_23.

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Lazarescu, M., H. Bunke, and S. Venkatesh. "Graph Matching: Fast Candidate Elimination Using Machine Learning Techniques." In Advances in Pattern Recognition. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44522-6_25.

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Leblebici, Erhan, Anthony Anjorin, Lars Fritsche, Gergely Varró, and Andy Schürr. "Leveraging Incremental Pattern Matching Techniques for Model Synchronisation." In Graph Transformation. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61470-0_11.

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Gomes, Cláudio, Bruno Barroca, and Vasco Amaral. "Classification of Model Transformation Tools: Pattern Matching Techniques." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11653-2_38.

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Ferrara, Pietro. "Static Type Analysis of Pattern Matching by Abstract Interpretation." In Formal Techniques for Distributed Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13464-7_15.

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Conference papers on the topic "Pattern Matching Techniques"

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Maitrey, Seema, C. K. Jhaa, and Poonam Ranab. "Comparative analysis of Pattern Matching methodologies." In 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT). IEEE, 2014. http://dx.doi.org/10.1109/icicict.2014.6781350.

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Fard, Arash, Satya Manda, Lakshmish Ramaswamy, and John A. Miller. "Effective caching techniques for accelerating pattern matching queries." In 2014 IEEE International Conference on Big Data (Big Data). IEEE, 2014. http://dx.doi.org/10.1109/bigdata.2014.7004266.

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Kuo, Sheng-Po, Bing-Jhen Wu, Wen-Chih Peng, and Yu-Chee Tseng. "Cluster-Enhanced Techniques for Pattern-Matching Localization Systems." In 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems. IEEE, 2007. http://dx.doi.org/10.1109/mobhoc.2007.4428664.

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Kato, Kokoro, Yoshiyuki Taniguchi, and Kuninori Nishizawa. "Fuzzy pattern matching techniques for photomask layout data." In Photomask and NGL Mask Technology XX, edited by Kokoro Kato. SPIE, 2013. http://dx.doi.org/10.1117/12.2027851.

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Shiah, Chwan-Yi, and Yun-Sheng Yen. "Symbolic document image compression based on pattern matching techniques." In 2011 International Conference on Graphic and Image Processing. SPIE, 2011. http://dx.doi.org/10.1117/12.913413.

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Adhinarayanan, Vignesh, and Wu-chun Feng. "Approximate Pattern Matching for On-Chip Interconnect Traffic Prediction." In PACT '20: International Conference on Parallel Architectures and Compilation Techniques. ACM, 2020. http://dx.doi.org/10.1145/3410463.3414667.

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Pande, Akshara, Manjari Gupta, and A. K. Tripathi. "Design pattern mining for GIS application using graph matching techniques." In 2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccsit.2010.5564518.

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Hoeltzel, D. A., and W. H. Chieng. "Pattern Matching Synthesis As an Automated Approach to Mechanism Design." In ASME 1989 Design Technical Conferences. American Society of Mechanical Engineers, 1989. http://dx.doi.org/10.1115/detc1989-0043.

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Abstract A new knowledge-based approach for the synthesis of mechanisms, referred to as Pattern Matching Synthesis, has been developed based on committee machine and Hopfield neural network models of pattern matching applied to coupler curves. Computational tests performed on a dimensionally parameterized four bar mechanism have yielded 15 distinct coupler curve groups (patterns) from a total of 356 generated coupler curves. This innovative approach represents a first step toward the automation of mapping structure-to-function in mechanism design based on the application of artificial intellig
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Agarwal, Anjali, Saurabh Maheshwari, and Garima Yadav. "A review on vein biometric recognition using geometric pattern matching techniques." In 2014 Conference on IT in Business, Industry and Government (CSIBIG). IEEE, 2014. http://dx.doi.org/10.1109/csibig.2014.7056935.

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Lei Qiu and Rodney A. Kennedy. "Radio location using pattern matching techniques in fixed wireless communication networks." In 2007 International Symposium on Communications and Information Technologies. IEEE, 2007. http://dx.doi.org/10.1109/iscit.2007.4392172.

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