PPT-Physical retrieval

Author : giovanna-bartolotta | Published Date : 2017-11-05

for MODIS Andy Harris Jonathan Mittaz Prabhat Koner Chris Merchant Pierre LeBorgne Satellite data pros and cons Main advantages of satellite data Frequent and

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Physical retrieval: Transcript

for MODIS Andy Harris Jonathan Mittaz Prabhat Koner Chris Merchant Pierre LeBorgne Satellite data pros and cons Main advantages of satellite data Frequent and regular global coverage cloud cover permitting for IR. Julia Hirschberg. CS 4705. Today. Information Retrieval. Review of Methods. TREC IR Tracks. Question Answering. Factoid Q/A. A Sample System: UT Dallas (Harabagiu). A simpler alternative from MSR. Information Retrieval. Module 20. What is Memory?. Process of . encoding, storage, and retrieval.. Learning that persists over time.. Encoding. Get info in. Storage. Retain the info. Retrieval. Getting the information out. Milton J. Dehn, Ed.D. ., NCSP. Schoolhouse Educational Services. Fall, 2012. Notice of Copyright, . 2012. This . PowerPoint . and accompanying materials are copyrighted by Milton J. Dehn and Schoolhouse Educational Services, LLC. All rights reserved. No photocopying, electronic display, or electronic dissemination of these materials is allowed without written permission. Pattern Completion and Recapitulation. Episodic Retrieval and the Frontal Lobes. Cues for Retrieval. The Second Time Around: Recognizing Stimuli by Recollection and Familiarity. Misremembering the Past. INST 734. Doug . Oard. Module 13. Agenda. Image retrieval. Video retrieval. Multimedia retrieval. Multimedia. A set of time-synchronized modalities. Video. Images, object motion, camera motion, scenes. CSC 575. Intelligent Information Retrieval. Intelligent Information Retrieval. 2. Indexing. Indexing is the process of transforming items (documents) into a searchable data structure. creation of document surrogates to represent each document. Information. Miles Efron, Jana . Diesner. , Peter . Organisciak. , Garrick Sherman, Ana . Lucic. {. mefron. , et al.}@. illinois.edu. GSLIS 2012. TREC: The Text REtrieval Conference. NIST. Web. Legal. and Re-ranking. Ling573. NLP Systems and Applications. May 3, 2011. Upcoming Talks. Edith Law. Friday: 3:30; CSE 303. Human Computation: Core Research Questions and Opportunities . Games with a purpose, . Forgetting is useful. We are poor judges of how well we are learning. More assessment is the key to successful learning. “Learning is a change in long-term memory.”. Paul Kirschner. Retrieval and Storage. ChengXiang. (“Cheng”) . . Zhai. Department of Computer Science. University of Illinois at Urbana-Champaign. http://www.cs.uiuc.edu/homes/czhai. . Email: czhai@illinois.edu. 1. Yahoo!-DAIS Seminar, UIUC. Hongning. Wang. CS@UVa. What is information retrieval?. CS6501: Information Retrieval. CS@UVa. 2. Why information retrieval . Information overload. “. It refers to the . difficulty. a person can have understanding an issue and making decisions that can be caused by the presence of . All slides ©Addison Wesley, 2008. How Much Data is Created Every . Minute?. Source: . https. ://www.domo.com/blog/2012/06/how-much-data-is-created-every-minute/. The Search Problem. Search and Information Retrieval. Class Activity. Action: . Write. down the . 4 or 5 points. that most impact you from this presentation.. You will need this for the group activity at the end of this presentation.. Key to Learning. What is IR?. Sit down before fact as a little child, . be prepared to give up every conceived notion, . follow humbly wherever and whatever abysses nature leads, . or you will learn nothing. . . -- Thomas Huxley --.

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