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KDD
2008
ACM
135views Data Mining» more  KDD 2008»
14 years 10 months ago
DiMaC: a disguised missing data cleaning tool
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
SIGMOD
2008
ACM
167views Database» more  SIGMOD 2008»
14 years 10 months ago
DiMaC: a system for cleaning disguised missing data
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
14 years 4 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
JEI
2000
134views more  JEI 2000»
13 years 9 months ago
Pattern matching using the blur hit - miss transform
The usefulness of the hit-miss transform (HMT) and related transforms for pattern matching in document image applications is examined. Although the HMT is sensitive to the types o...
Dan S. Bloomberg, Luc Vincent
IEEEMSP
2002
IEEE
14 years 2 months ago
Factorization with missing data for 3D structure recovery
—Matrix factorization methods are now widely used to recover 3D structure from 2D projections [1]. In practice, the observation matrix to be factored out has missing data, due to...
Rui F. C. Guerreiro, Pedro M. Q. Aguiar