PPT-On the use of Graph Search Techniques for the Analysis of E

Author : danika-pritchard | Published Date : 2016-04-05

Janine Bennett 1 William McLendon III 1 Guarav Bansal 2 Peer Timo Bremer 3 Jacqueline Chen 1 Hemanth Kolla 1 1 Sandia National Laboratories 2 Intel 3 Lawrence

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On the use of Graph Search Techniques for the Analysis of E: Transcript


Janine Bennett 1 William McLendon III 1 Guarav Bansal 2 Peer Timo Bremer 3 Jacqueline Chen 1 Hemanth Kolla 1 1 Sandia National Laboratories 2 Intel 3 Lawrence Livermore . g Google or Yahoo Identify Keywords Create a list of keywords associated with your topic consider synonyms or variant spel lings Use this list to help narrow search terms Write them down and keep them with you throughout the research process rite dow 10 11 Graph Search Methods Many graph problems solved using a search method Path from one vertex to another Is the graph connected Find a spanning tree Etc Commonly used search methods Breadthfirst search Depthfirst search BreadthFirst Search Visit Depth First Search (DFS). We Already Covered . Breadth First Search(BFS). Traverses the graph one level at a time. Visit all outgoing edges from a node before you go deeper. Needs a queue. BFS creates a tree called BFS-Tree. Sept, 2014. Steven Castillo, Ph.D.. ISR Systems Engineering and Decision Support. Presentation to. University of Illinois at Urbana-Champaign. Approved for UUR: SAND2014-17938 PE. Motivation Slide. Mission Context. Unde. r the guidance of. Dr. K. R. . Rao. By:. Karthik Suresh . (1000880819). EE 5359 MULTIMEDIA PROCESSING. FINAL PROJECT PRESENTATION. Objective. The main intent of the project is to observe the impact of parallelization in video coding.. a TASTIER Approach. Guoliang. Li. 1. , . Shengyue. Ji. 2. , Chen Li. 2. , . Jianhua. Feng. 1. 1 . Tsinghua. University, Beijing, China. 2 . University of California, Irvine, CA, USA. Traditional Keyword Search. Depth . First . Search. Graph. A representation of set of objects. Pairs of objects are connected. Interconnected objects are called “vertices or nodes”. Links that connects the vertices are called “edges or lines”. Janine Bennett. 1. William . McLendon. III. 1. Guarav. Bansal. 2. Peer-. Timo. Bremer. 3. Jacqueline Chen. 1. Hemanth. Kolla. 1. 1. Sandia National Laboratories, . 2. Intel, . 3. Lawrence Livermore . By Clara Bryant. How a Human solves a Maze. Greek Myth of the Minotaur. Greek hero Theseus is given string to find his way through and back out of the maze. String and chalk method to solve a maze. Mark the places you’ve visited already . a Multi-Layered Indexing Approach. Yongjiang Liang, . Peixiang Zhao. CS @ FSU. zhao@cs.fsu.edu. Outline. Introduction. State-of-the-art solutions. ML-Index & similarity search. Experiments. Conclusion. Interpolation Search . Insertion Sort . quick review. DFS, BFS. Topological Sort. MA/CSSE 473 Day 12. Questions?. Interpolation Search. Insertion sort analysis. Depth-first Search. Breadth-first Search. Fall 2009. Introduction. Trees: . Root, parent, child, sibling, leaf node, node, edge. Single path from root to any node. Graphs:. Nodes, edges, directed/undirected graph, acyclic graph. Search techniques for Trees. 1. Announcements. TODO before next Tuesday: . Watch the tutorial on the shortest path algorithm. Complete the associated the Quiz. 2. Graphs. 3. 0 1 0 1. 0 0 1 0. 0 0 0 0. 0 1 1 0. Zhihao Jia. 1. 6/23/19. Stanford University. Deep Learning is Everywhere. 2. Recurrent Neural Networks. Convolutional Neural Networks. Neural Architecture Search. Reinforcement Learning. Deep Learning Deployment is Challenging.

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