Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
25
click to vote
SIGIR
2008
ACM
favorite
Email
discuss
report
66
views
Information Technology
»
more
SIGIR 2008
»
Theoretical bounds on and empirical robustness of score regularization to different similarity measures
14 years 10 days ago
Download
ciir.cs.umass.edu
We present theoretical bounds and empirical robustness of score regularization given changes in the similarity measure. Categories and Subject Descriptors: I.5.3 Clustering: Similarity Measures General Terms: Reliability
Fernando D. Diaz
Real-time Traffic
Information Technology
|
Score Regularization
|
SIGIR 2008
|
Similarity Measure
|
Theoretical Bounds
|
claim paper
Post Info
More Details (n/a)
Added
15 Dec 2010
Updated
15 Dec 2010
Type
Journal
Year
2008
Where
SIGIR
Authors
Fernando D. Diaz
Comments
(0)
Researcher Info
Information Technology Study Group
Computer Vision