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» Graph Transformation with Variables
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128
Voted
KDD
2004
ACM
179views Data Mining» more  KDD 2004»
16 years 3 months ago
1-dimensional splines as building blocks for improving accuracy of risk outcomes models
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
David S. Vogel, Morgan C. Wang
115
Voted
CVPR
2003
IEEE
16 years 4 months ago
Practical Non-parametric Density Estimation on a Transformation Group for Vision
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...
Erik G. Miller, Christophe Chefd'Hotel
142
Voted
AGTIVE
1999
Springer
15 years 7 months ago
DiTo - A Distribution Tool Based on Graph Rewriting
Abstract. In the paper Support for Design Patterns through Graph Transformation Tools in this volume, we have already outlined the global structure of a tool that allows for the an...
Ansgar Radermacher
137
Voted
FASE
2008
Springer
15 years 4 months ago
A Logic of Graph Constraints
Abstract. Graph constraints were introduced in the area of graph transformation, in connection with the notion of (negative) application conditions, as a form to limit the applicab...
Fernando Orejas, Hartmut Ehrig, Ulrike Prange
VLSID
2007
IEEE
94views VLSI» more  VLSID 2007»
16 years 3 months ago
A Reduced Complexity Algorithm for Minimizing N-Detect Tests
? We give a new recursive rounding linear programming (LP) solution to the problem of N-detect test minimzation. This is a polynomialtime solution that closely approximates the exa...
Kalyana R. Kantipudi, Vishwani D. Agrawal