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NIPS
1994
15 years 5 months ago
From Data Distributions to Regularization in Invariant Learning
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
Todd K. Leen
3DOR
2008
15 years 6 months ago
Characterizing Shape Using Conformal Factors
We present a new 3D shape descriptor based on conformal geometry. Our descriptor is invariant under non-rigid quasi-isometric transformations, such as pose changes of articulated ...
Mirela Ben-Chen, Craig Gotsman
WSR
2008
15 years 5 months ago
Graph Technology in Reverse Engineering: The TGraph Approach
: TGraphs are directed graphs with typed, attributed, and ordered nodes and edges. These properties leverage the use of graphs as models for all kinds of artifacts in the context o...
Jürgen Ebert, Volker Riediger, Andreas Winter
AGTIVE
2007
Springer
15 years 10 months ago
Applying a Grouping Operator in Model Transformations
The usability of model transformation languages depends on the abstractions one can work with in rules to perform complex operations on models. Recently, we have introduced a novel...
Daniel Balasubramanian, Anantha Narayanan, Sandeep...
ICMT
2009
Springer
15 years 10 months ago
Supporting Parallel Updates with Bidirectional Model Transformations
Abstract. Model-driven software development often involves several related models. When models are updated, the updates need to be propagated across all models to make them consist...
Yingfei Xiong, Hui Song, Zhenjiang Hu, Masato Take...