'Document model' presentation slideshows

Learning structured ouputs

1.17k views • 102 slides

Database Relational Model

958 views • 81 slides

Content-based Image Retrieval (CBIR)

Content-based Image Retrieval (CBIR). Searching a large database for images that match a query: What kinds of databases? What kinds of queries? What constitutes a match? How do we make such searches efficient?. Applications. Art Collections e.g. Fine Arts Museum of San Francisco

850 views • 73 slides

Modeling Natural Text

753 views • 64 slides

Javascript Intro

Javascript Intro. http://www.w3schools.com/js/js_examples.asp. JavaScript. In addition to HTML and CSS... Browsers have a powerful programming language called JavaScript that runs in the browser Actually not much like Java - more like C

686 views • 46 slides

How the TI- Nspire document model can change the way we teach Mathematics Andy Kemp

489 views • 36 slides

The JavaScript Environment

The JavaScript Environment. Concept: JavaScript lives within the browser and is presented a series of objects that it can manipulate to: Construct the user interface Add interactivity to content in a displayed window Create and manipulate additional windows Browsers present to JavaScript

495 views • 34 slides

Language Model in Turkish IR

593 views • 29 slides

Integrating Word Relationships into Language Models

412 views • 27 slides

Language Modeling Again

Language Modeling Again. So are we smooth now? Courtesy of Chris Jordan. So what did we talk about last week?. Language models represent documents as multinomial distributions What is a multinomial? The Maximum Likelihood Estimate calculates document model

261 views • 25 slides

Language Models for Information Retrieval

Language Models for Information Retrieval. Andy Luong and Nikita Sudan. Outline. Language Model Types of Language Models Query Likelihood Model Smoothing Evaluation Comparison with other approaches. Language Model.

324 views • 23 slides

Exploiting Proximity Feature in Statistical Translation Models for Information Retrieval

332 views • 22 slides

Research initiative V 3 D 2 of the German Research Foundation (DFG)

284 views • 18 slides

Text Classification and Named Entities for New Event Detection

Text Classification and Named Entities for New Event Detection. Giridhar Kumaran and James Allan University of Massachusetts Amherst SIGIR 2004. Introduction. New Event Detection (NED) is one of the task in TDT program. (http://www.nist.gov/speech/tests/tdt/index.htm)

316 views • 17 slides

RPC versus Documents Malcolm Atkinson Director of National e-Science Centre nesc.ac.uk

RPC versus Documents Malcolm Atkinson Director of National e-Science Centre www.nesc.ac.uk 1 st May 2003 IBM Almaden Research Centre DAIS WG Face-to-Face. Option 1. Adopt only RPC One action per function call Pro Every possible combination of actions exposed Externalises WFL enactment

176 views • 5 slides