[PDF]Indexing the World Wide Web: The Journey So Far -- Publications by Googlers
Next Generation Search Engines: Advanced Models for Information Retrieval, IGI-Global (2012), pp. 1-28 In this chapter, we describe the key indexing components of today’s web search engines. As the World Wide Web has grown, the systems and methods for indexing have changed significantly. We present the data structures used, the features extracted, the infrastructure needed, and the options availab
The War Against Spam: A report from the front line
NIPS 2007 Workshop on Machine Learning in Adversarial Environments for Computer Security Fighting spam is a success story of real-world machine learning. Despite the occasional spam that does reach our inboxes, the overwhelming majority of spam — and there is a lot of it — is positively identified. At the same time, the rarity with which users feel the need to check their spam box for false positi
Gesture Search: A Tool for Fast Mobile Data Access
UIST'10: Symposium on User Interface Software and Technology, ACM (2010), pp. 87-96 Modern mobile phones can store a large amount of data, such as contacts, applications and music. However, it is difficult to access specific data items via existing mobile user interfaces. In this paper, we present Gesture Search, a tool that allows a user to quickly access various data items on a mobile phone by d
Failure Trends in a Large Disk Drive Population
5th USENIX Conference on File and Storage Technologies (FAST 2007), pp. 17-29 It is estimated that over 90% of all new information produced in the world is being stored on magnetic media, most of it in hard disk drives. Despite their importance, there is relatively little published work on the failure patterns of disk drives, and the key factors that affect their lifetime. Most available data are
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Limits on the Application of Frequency-based Language Models to OCR
Quantitative Analysis of Culture Using Millions of Digitized Books --Recent Google Publications
[PDF]Combined Script and Page Orientation Estimation using the Tesseract OCR engine -- Publications by Googlers
[PDF]Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment（2009 10th International Conference on Document Analysis and Recognition）-- Publications by Googlers
Learning to Rank Answers to Non-Factoid Questions from Web Collections
[PDF]"The Learning Behind Gmail Priority Inbox" -- Google Research
Mining Arabic Business Reviews
Qin Ding's Publications
Document Image Applications Dan S. Bloomberg and Luc Vincent Google Draft for chapter in Livre Hermes Morphologie Mathmatique: July 2007 1 Introduction The analysis of document images is a difficult and ill-defined task. Unlike the graphics operation o
An Overview of the Tesseract OCR Engine
Search by Voice in Mandarin Chinese
https://dl.acm.org/citation.cfm?id=1520585&dl=GUIDE&coll=GUIDE&CFID=100181063&CFTOKEN=66586818
[PDF] Google Book Search: Document Understanding on a Massive Scale , by Luc Vincent, Google, Inc.
Microsoft Word - MOCRadaptingtesseract2.doc
Publications – Google Research
Power Provisioning for a Warehouse-sized Computer