'Graph matching' presentation slideshows

Breadth-First Search of Graphs

Breadth-First Search of Graphs. Analysis of Algorithms Week 9, Lecture 1. Prepared by John Reif, Ph.D. Distinguished Professor of Computer Science Duke University. Applications of Breadth-First Search of Graphs. Single Source Shortest Path Graph Matching.

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Graph Matching

Graph Matching. Lecture 16: Nov 28. This Lecture. Graph matching is an important problem in graph theory. It has many applications and is the basis of more advanced problems. In this lecture we will cover two versions of graph matching problems. Stable matching Bipartite matching.

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Network Analysis and Visualization

Network Analysis and Visualization. Qualifying Paper Presentation March 9 th , 2005 Ketan Mane School of Library and Information Science Indiana University, Bloomington. Contents. Motivation Network Analysis Network Visualizations Network Augmentation and Interaction

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ANALYSIS OF GENETIC NETWORKS USING ATTRIBUTED GRAPH MATCHING

ANALYSIS OF GENETIC NETWORKS USING ATTRIBUTED GRAPH MATCHING. BACKGROUND. Completion of sequencing projects Need for functional discovery Emerging area of study: Large scale genomic analysis Similarity of living systems. GENETIC NETWORKS. Modelling genetic networks

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Laboratorio di M acchine I ntelligenti per il riconoscimento di V ideo, I mmagini e A udio

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Laboratorio di M acchine I ntelligenti per il riconoscimento di V ideo, I mmagini e A udio

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Probabilistic Graph and Hypergraph Matching

Probabilistic Graph and Hypergraph Matching. Ron Zass & Amnon Shashua. School of Engineering and Computer Science, The Hebrew University, Jerusalem. Example: Object Matching. No global affine transform. Local affine transforms + small non-rigid motion.

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A Tensor-Based Algorithm for High-Order Graph Matching

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Robust Textual Inference via Graph Matching

Robust Textual Inference via Graph Matching. Aria Haghighi Andrew Ng Christopher Manning. Textual Entailment Examples. TEXT (T): A Filipino hostage in Iraq was released. HYPOTHESIS (H): A Filipino hostage was freed in Iraq. Entailed Only Need Lexical Similarity Matching.

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APL: Autonomous Passive Localization for Wireless Sensors Deployed in Road Networks

Jaehoon Jeong, Shuo Guo, Tian He and David Du Computer Science and Engineering, University of Minnesota {jjeong,sguo,tianhe,du}@cs.umn.edu. APL: Autonomous Passive Localization for Wireless Sensors Deployed in Road Networks. April 16th, 2008. IEEE INFOCOM 2008, Phoenix, AZ, USA.

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Object detection, tracking and event recognition: the ETISEO experience

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Exact (Graph) Matching

Zheng Zhang e0928502. Exact (Graph) Matching. Presentation for VO Structural Pattern Recognition. Outline. Graph matching Definition Manifold application areas Exact matching Definition Different forms of exact matching Necessary concepts Algorithms for exact matching

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5.8 Graph Matching

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Volume Based Human Motion Capture using Example Topology Graphs

Volume Based Human Motion Capture using Example Topology Graphs. Atsushi Nakazawa, Hidenori Tanaka Haruo Takemura Cybermedia Center, Osaka University {nakazawa,tanaka,takemura}@lab.ime.cmc.osaka-u.ac.jp. Motion Capture Systems. Marker-based Motion Capture Use for Computer Animation, etc.

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Action Planning for Graph Transition Systems

Action Planning for Graph Transition Systems. Stefan Edelkamp Shahid Jabbar Computer Science Department University of Dortmund, Dortmund, Germany Alberto Lluch-Lafuente Department of Informatics, University of Pisa, Pisa, Italy. Graph Transition Systems. Graph Transition Systems.

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PDBe-fold (SSM) A web-based service for protein structure comparison and structure searches

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PDBe-fold (SSM) A web-based service for protein structure comparison and structure searches

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Use of Ranked Cross Document Evidence Trails for Hypothesis Generation

Use of Ranked Cross Document Evidence Trails for Hypothesis Generation. Presenter : Jiang-Shan Wang Authors : Rohini K. Srihari, Li Xu, Tushar Saxena. ???????? National Yunlin University of Science and Technology. SIGKDD 2008. Outline. Motivation Objective Methodology Experiments

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Self-Learning Ontologies

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