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» Visualizing Incomplete and Partially Ranked Data
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TVCG
2008
70views more  TVCG 2008»
13 years 4 months ago
Visualizing Incomplete and Partially Ranked Data
Ranking data, which result from m raters ranking n items, are difficult to visualize due to their discrete algebraic structure, and the computational difficulties associated with t...
Paul Kidwell, Guy Lebanon, William S. Cleveland
CORR
2011
Springer
144views Education» more  CORR 2011»
12 years 8 months ago
Rank Aggregation via Nuclear Norm Minimization
The process of rank aggregation is intimately intertwined with the structure of skew-symmetric matrices. We apply recent advances in the theory and algorithms of matrix completion...
David F. Gleich, Lek-Heng Lim
ICML
2008
IEEE
14 years 5 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
SIAMMAX
2010
164views more  SIAMMAX 2010»
12 years 11 months ago
Uniqueness of Low-Rank Matrix Completion by Rigidity Theory
The problem of completing a low-rank matrix from a subset of its entries is often encountered in the analysis of incomplete data sets exhibiting an underlying factor model with app...
Amit Singer, Mihai Cucuringu
AND
2010
13 years 2 months ago
A platform for storing, visualizing, and interpreting collections of noisy documents
The goal of document image analysis is to produce interpretations that match those of a uent and knowledgeable human when viewing the same input. Because computer vision technique...
Bart Lamiroy, Daniel P. Lopresti