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NAACL
2010
14 years 7 months ago
Painless Unsupervised Learning with Features
We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
Taylor Berg-Kirkpatrick, Alexandre Bouchard-C&ocir...
86
Voted
ECBS
2003
IEEE
115views Hardware» more  ECBS 2003»
15 years 2 months ago
Details of Formalized Relations in Feature Models Using OCL
System families are a form of high level reuse of development assets in a specific problem domain, by making use of commonalities and variabilities. To represent assets belonging ...
Detlef Streitferdt, Matthias Riebisch, Ilka Philip...
ICDAR
2011
IEEE
13 years 9 months ago
A Generative Model for Handwritings Based on Enhanced Feature Desynchronization
—A new generative model of handwriting patterns is proposed for interpreting their deformations. The model is based on feature desynchronization, which is a coupling process of
Seiichi Uchida, Toru Sasaki, Yaokai Feng
ITS
1992
Springer
123views Multimedia» more  ITS 1992»
15 years 1 months ago
Evaluation of Feature Based Modelling in Subtraction
One aim of intelligent tutoring systems is to tailor lessons to each individual student's needs. To do this a tutoring system requires a model of the student's knowledge...
Mark Kuzmycz, Geoffrey I. Webb
CGI
2003
IEEE
15 years 2 months ago
An Efficient Mesh Simplification Method with Feature Detection for Unstructured Meshes and Web Graphics
This paper presents an efficient method of mesh simplification for geometric 3D models. The transmission of 3D models on the Internet is an important task. The data size of a 3D m...
Bing-Yu Chen, Tomoyuki Nishita