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134
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CVPR
2007
IEEE
16 years 6 months ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn
147
Voted
VISUALIZATION
1995
IEEE
15 years 7 months ago
Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data
Animportantgoalofvisualizationtechnologyistosupport the exploration and analysis of very large amounts of data. In this paper, we propose a new visualization technique called ‘r...
Daniel A. Keim, Mihael Ankerst, Hans-Peter Kriegel
137
Voted
DIMEA
2008
164views Multimedia» more  DIMEA 2008»
15 years 5 months ago
Lessons learned: game design for large public displays
This paper presents the design and deployment of Polar Defence, an interactive game for a large public display. We designed this display based on a model of "users" and ...
Matthias Finke, Anthony Tang, Rock Leung, Michael ...
141
Voted
ICIP
2007
IEEE
16 years 5 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
16 years 5 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010