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» Deriving Information Requirements from Responsibility Models
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NIPS
2008
15 years 8 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
SIBGRAPI
2006
IEEE
16 years 1 months ago
Improving 2D mesh image segmentation with Markovian Random Fields
Traditional mesh segmentation methods normally operate on geometrical models with no image information. On the other hand, 2D image-based mesh generation and segmentation counterp...
Alex Jesus Cuadros-Vargas, Leandro C. Gerhardinger...
IDEAS
2005
IEEE
165views Database» more  IDEAS 2005»
16 years 29 days ago
Privacy Aware Data Generation for Testing Database Applications
Testing of database applications is of great importance. A significant issue in database application testing consists in the availability of representative data. In this paper we...
Xintao Wu, Chintan Sanghvi, Yongge Wang, Yuliang Z...
WABI
2004
Springer
16 years 21 days ago
A Polynomial-Time Algorithm for the Matching of Crossing Contact-Map Patterns
Abstract. Contact maps are a model to capture the core information in the structure of biological molecules, e.g., proteins. A contact map consists of an ordered set ¡ of elements...
Jens Gramm
VMV
2003
145views Visualization» more  VMV 2003»
15 years 8 months ago
Interactive Volume Visualization of Complex Flow Semantics
Comprehending results from 3D CFD simulation is a difficult task. In this paper, we present a semantics-based approach to featurebased volume rendering of 3D flow data. We make ...
Helwig Hauser, Matej Mlejnek