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NIPS
1996
13 years 9 months ago
Neural Models for Part-Whole Hierarchies
We present a connectionist method for representing images that explicitlyaddresses their hierarchicalnature. It blends data fromneuroscience about whole-object viewpoint sensitive...
Maximilian Riesenhuber, Peter Dayan
CGF
2007
82views more  CGF 2007»
13 years 7 months ago
Unpopping: Solving the Image-Space Blend Problem for Smooth Discrete LOD Transitions
This paper presents a new, simple and practical algorithm to avoid artifacts when switching between discrete levels of detail (LOD) by smoothly blending LOD representations in ima...
Markus Giegl, Michael Wimmer
INFOVIS
2003
IEEE
14 years 1 months ago
Exploring High-D Spaces with Multiform Matrices and Small Multiples
We introduce an approach to visual analysis of multivariate data that integrates several methods from information visualization, exploratory data analysis (EDA), and geovisualizat...
Alan M. MacEachren, Xiping Dai, Frank Hardisty, Di...
DEXA
2001
Springer
112views Database» more  DEXA 2001»
14 years 8 days ago
An Information-Driven Framework for Image Mining
Image mining systems that can automatically extract semantically meaningful information (knowledge) from image data are increasingly in demand. The fundamental challenge in image m...
Ji Zhang, Wynne Hsu, Mong-Li Lee
DAGSTUHL
2006
13 years 9 months ago
On Scene Interpretation with Description Logics
We examine the possible use of Description Logics as a knowledge representation and reasoning system for high-level scene interpretation. It is shown that aggregates composed of m...
Bernd Neumann, Ralf Möller