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Carlos Santos's Library tagged search   View Popular

25 Jun 09

New tutorial - Building a search engine with Appengine and Yahoo — The Uswaretech Blog - Django Web Development

new tutorial on building a search engine using Appengine, and Yahoo Search API here. This uses pure Appengine API, and not Django, and is a tutorial on how to use Appengine without Django.

uswaretech.com/...ngine-with-appengine-and-yahoo - Preview

gae appengine yahoo search api python

21 May 09

Yahoo Placemaker: Extract Location Data from Any Text

  • In addition, Yahoo also announced that, starting today, it will allow developers to download and use the full data set of Yahoo's GeoPlanet. The GeoPlanet data, which contains information about millions of placenames in multiple languages, also forms the basis of Placemaker's geographical knowledge.The GeoPlanet data will be licensed under the Creative Commons Attribution license.
05 May 09

Clustering Billions of Images with Large Scale Nearest Neighbor Search

Image collections on this scale make performing even the most common and simple computer vision, image processing, and machine learning tasks non-trivial. An example is nearest neighbor search, which not only serves as a fundamental subproblem in many more sophisticated algorithms, but also has direct applications, such as image retrieval and image clustering. In this paper, we address the nearest neighbor problem as the first step towards scalable image processing. We describe a scalable version of an approximate nearest neighbor search algorithm and discuss how it can be used to find near duplicates among over a billion images.

portal.acm.org/citation.cfm - Preview

google cbir nearestneighbor search clustering computervision via:chl

  • Image collections on this scale make performing even the most common and simple computer vision, image processing, and machine learning tasks non-trivial. An example is nearest neighbor search, which not only serves as a fundamental subproblem in many more sophisticated algorithms, but also has direct applications, such as image retrieval and image clustering. In this paper, we address the nearest neighbor problem as the first step towards scalable image processing. We describe a scalable version of an approximate nearest neighbor search algorithm and discuss how it can be used to find near duplicates among over a billion images.
29 Apr 09

Whoosh

Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python.

whoosh.ca - Preview

python search library TextProcessing via:dhellmann indexing

  • Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python.
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