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» Detecting Multiple Classes of User Errors
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ACSC
2007
IEEE
14 years 1 months ago
Exploring Human Judgement of Digital Imagery
Statistical learning methods are commonly applied in content-based video and image retrieval. Such methods require a large number of examples which are usually obtained through a ...
Timo Volkmer, James A. Thom, Seyed M. M. Tahaghogh...
PVLDB
2010
99views more  PVLDB 2010»
13 years 5 months ago
Towards Certain Fixes with Editing Rules and Master Data
A variety of integrity constraints have been studied for data cleaning. While these constraints can detect the presence of errors, they fall short of guiding us to correct the err...
Wenfei Fan, Jianzhong Li, Shuai Ma, Nan Tang, Weny...
ICSE
2004
IEEE-ACM
14 years 7 months ago
Validating the Unit Correctness of Spreadsheet Programs
Financial companies, engineering firms and even scientists create increasingly larger spreadsheets and spreadsheet programs. The creators of large spreadsheets make errors and mus...
Tudor Antoniu, Paul A. Steckler, Shriram Krishnamu...
SIGCOMM
2010
ACM
13 years 7 months ago
Crowdsourcing service-level network event monitoring
The user experience for networked applications is becoming a key benchmark for customers and network providers. Perceived user experience is largely determined by the frequency, d...
David R. Choffnes, Fabián E. Bustamante, Zi...
ECCV
2008
Springer
14 years 9 months ago
Projected Texture for Object Classification
Algorithms for classification of 3D objects either recover the depth information lost during imaging using multiple images, structured lighting, image cues, etc. or work directly t...
Avinash Sharma, Anoop M. Namboodiri