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» Process Diagnostics: A Method Based on Process Mining
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ECCV
2002
Springer
16 years 8 months ago
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
Christoph Schnörr, Daniel Cremers, Timo Kohlb...
EXACT
2008
15 years 9 months ago
Integrating Probabilistic and Knowledge-Based Systems for Explanation Generation
An important requirement for intelligent assistants is to have an explanation generation mechanism, so that the trainee has a better understanding of the recommended actions and ca...
Francisco Elizalde, Luis Enrique Sucar, Julieta No...
ASPDAC
2008
ACM
174views Hardware» more  ASPDAC 2008»
15 years 8 months ago
Chebyshev Affine Arithmetic based parametric yield prediction under limited descriptions of uncertainty
In modern circuit design, it is difficult to provide reliable parametric yield prediction since the real distribution of process data is hard to measure. Most existing approaches ...
Jin Sun, Yue Huang, Jun Li, Janet Meiling Wang
ADBIS
2010
Springer
237views Database» more  ADBIS 2010»
15 years 8 months ago
Graph Object Oriented Database for Semantic Image Retrieval
This paper presents a new method for image retrieval using a graph object oriented database for processing the information extracted from the image through the segmentation process...
Eugen Ganea, Marius Brezovan
153
Voted
3DIM
1997
IEEE
15 years 11 months ago
Robust Meshes from Multiple Range Maps
This paper presents a method for modeling the surface of an object from a sequence of range maps. Our method is based on a volumetric approach that produces a compact surface with...
Kari Pulli, Tom Duchamp, Hugues Hoppe, John Alan M...