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» A Symmetry-Based Generative Model for Shape
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CVPR
2007
IEEE
14 years 10 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
TOG
2002
162views more  TOG 2002»
13 years 8 months ago
Jigsaw image mosaics
This paper introduces a new kind of mosaic, called Jigsaw Image Mosaic (JIM), where image tiles of arbitrary shape are used to compose the final picture. The generation of a Jigsa...
Junhwan Kim, Fabio Pellacini
MOBIHOC
2010
ACM
13 years 6 months ago
Data preservation under spatial failures in sensor networks
In this paper, we address the problem of preserving generated data in a sensor network in case of node failures. We focus on the type of node failures that have explicit spatial s...
Navid Hamed Azimi, Himanshu Gupta, Xiaoxiao Hou, J...
EVOW
2009
Springer
13 years 6 months ago
The Dynamic Knapsack Problem Revisited: A New Benchmark Problem for Dynamic Combinatorial Optimisation
Abstract. In this paper we propose a new benchmark problem for dynamic combinatorial optimisation. Unlike most previous benchmarks, we focus primarily on the underlying dynamics of...
Philipp Rohlfshagen, Xin Yao
IPMI
2011
Springer
13 years 1 days ago
Surface-Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmonary Tumors
Abstract. Multi-object segmentation with mutual interaction is a challenging task in medical image analysis. We report a novel solution to a segmentation problem, in which target o...
Qi Song, Mingqing Chen, Junjie Bai, Milan Sonka, X...