Structural Pattern Recognition Using Graph Matching: Approximate and Error-Tolerant Algorithms
暫譯: 使用圖形匹配的結構模式識別：近似與容錯算法
Dwivedi, Shri Prakash, Shankar Singh, Ravi
- 出版商: CRC
- 出版日期: 2025-09-30
- 售價: $7,330
- 貴賓價: 9.5 折 $6,964
- 語言: 英文
- 頁數: 230
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032850345
- ISBN-13: 9781032850344
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相關分類:
影像辨識 Image-recognition
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相關主題
商品描述
This book presents a comprehensive exploration of structural pattern recognition with a clear understanding of graph representation and manipulation. It explains graph matching techniques, unearthing the core principles of graph similarity measures, subgraph isomorphism, and advanced algorithms tailored to various pattern recognition tasks. It bridges the gap between theory and application by providing case studies, hands-on examples, and applications. It is a reference book for academicians, researchers, and students working in the fields of structural pattern recognition, computer vision, artificial intelligence, and data science.
- Begins with the fundamentals of graph theory, graph matching algorithms, and structural pattern recognition concepts and explains the principles, methodologies, and practical implementations
- Presents relevant case studies and hands-on examples across chapters to guide making informed decisions by graph matching
- Discusses various graph-matching algorithms, including exact and approximate methods, geometric methods, spectral techniques, graph kernels, and graph neural networks, including practical examples to illustrate the strengths and limitations of each approach
- Showcases the versatility of graph matching in real-world applications, such as image analysis, biological molecule identification, object recognition, social network clustering, and recommendation systems
- Describes deep learning models for graph matching, including graph convolutional networks (GCNs) and graph neural networks (GNNs)
商品描述(中文翻譯)
這本書全面探討結構模式識別，並清楚理解圖形表示和操作。它解釋了圖形匹配技術，揭示了圖形相似性度量、子圖同構和針對各種模式識別任務的先進算法的核心原則。它通過提供案例研究、實作範例和應用，彌合了理論與應用之間的鴻溝。這是一本供學術界、研究人員和在結構模式識別、計算機視覺、人工智慧和數據科學領域工作的學生參考的書籍。
- 從圖論、圖形匹配算法和結構模式識別概念的基本原理開始，解釋原則、方法論和實際實施。
- 在各章中呈現相關的案例研究和實作範例，以指導通過圖形匹配做出明智的決策。
- 討論各種圖形匹配算法，包括精確和近似方法、幾何方法、譜技術、圖形核和圖形神經網絡，並提供實際範例以說明每種方法的優勢和局限性。
- 展示圖形匹配在現實應用中的多樣性，例如圖像分析、生物分子識別、物體識別、社交網絡聚類和推薦系統。
- 描述用於圖形匹配的深度學習模型，包括圖形卷積網絡（GCNs）和圖形神經網絡（GNNs）。
作者簡介
Dr. Shri Prakash Dwivedi is an esteemed researcher and academic in the field of Computer Science and Engineering, specializing in pattern recognition, graph matching, and algorithms. He is currently serving as an Assistant Professor in the Department of Information Technology at G.B. Pant University of Agriculture & Technology, Pantnagar, where he has been actively involved in teaching and research. Dr. Dwivedi obtained his Ph.D. in Computer Science and Engineering from the Indian Institute of Technology (BHU), Varanasi, where he worked on graph matching algorithms for structural pattern recognition. Prior to that, he earned his M.E. in Computer Science from the Indian Institute of Science (IISc), Bangalore. Dr. Dwivedi has published extensively in leading journals and conferences, including Pattern Recognition Letters, Springer's Lecture Notes in Computer Science, Lecture Notes in Electrical Engineering, ACM and IEEE. His work primarily focuses on error-tolerant graph matching, similarity measure, approximate algorithms, and computational methods in structural pattern recognition.
Beyond academia, Dr. Dwivedi has industry experience as a Software Engineer (R&D) at various software companies, where he worked on scientific computing, algorithm design, and software development. He has also contributed to research projects integrating IoT and cloud-based automation systems. A recipient of several accolades, Dr. Dwivedi secured All India Rank 1 in GATE 2006 and has been a holder of the MHRD Scholarship for his academic excellence.
Dr. Ravi Shankar Singh is working as an Associate Professor in the Department of Computer Science and Engineering, Indian Institute of Technology (BHU) Varanasi, India and has an academic background of B.Tech.(CSE), M.Tech.(CSE) and Ph.D.(CSE). He has been a Senior Member of IEEE and ACM. More than 50 research papers have been included in his account. His research interests include high-performance and cloud computing.
作者簡介(中文翻譯)
德瑞·普拉卡什·德維迪博士 是計算機科學與工程領域的知名研究者和學者，專注於模式識別、圖形匹配和演算法。他目前擔任甘地·班特農業與技術大學（G.B. Pant University of Agriculture & Technology）資訊科技系的助理教授，積極參與教學和研究。德維迪博士在印度理工學院（BHU）瓦拉納西獲得計算機科學與工程的博士學位，研究主題為結構模式識別的圖形匹配演算法。在此之前，他在印度科學院（IISc）班加羅爾獲得計算機科學的碩士學位。德維迪博士在多個領先的期刊和會議上發表了大量論文，包括《模式識別快報》（Pattern Recognition Letters）、施普林格的《計算機科學講義》（Lecture Notes in Computer Science）、《電氣工程講義》（Lecture Notes in Electrical Engineering）、ACM 和 IEEE。他的研究主要集中在容錯圖形匹配、相似性度量、近似演算法和結構模式識別中的計算方法。
除了學術界，德維迪博士還擁有作為軟體工程師（研發）在多家軟體公司工作的行業經驗，參與科學計算、演算法設計和軟體開發。他還參與了整合物聯網（IoT）和基於雲的自動化系統的研究項目。德維迪博士獲得多項榮譽，並在2006年GATE考試中獲得全印度第一名，因其學術優秀而獲得人力資源發展部獎學金。
拉維·香卡·辛格博士 目前在印度理工學院（BHU）瓦拉納西的計算機科學與工程系擔任副教授，擁有計算機科學與工程的學士（B.Tech.）、碩士（M.Tech.）和博士（Ph.D.）學位。他是IEEE和ACM的高級會員，已發表超過50篇研究論文。他的研究興趣包括高效能計算和雲計算。
