827 search results - page 2 / 166 » Constrained Classification on Structured Data |
ICCV
2003
IEEE
14 years 7 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
ICFP
2006
ACM
14 years 5 months ago
2006
ACM
Generic Haskell is a language extension of Haskell for polytypic programming. Constrained types are parametric algebraic types with at least one argument constrained by type-class...
ICDAR
2009
IEEE
13 years 3 months ago
2009
IEEE
In our previous work, a precision constrained Gaussian model (PCGM) was proposed for character modeling to design compact recognizers of handwritten Chinese characters. A maximum ...