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» Mining from Large Image Sets
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MIR
2005
ACM
133views Multimedia» more  MIR 2005»
15 years 11 months ago
Probabilistic web image gathering
We propose a new method for automated large scale gathering of Web images relevant to specified concepts. Our main goal is to build a knowledge base associated with as many conce...
Keiji Yanai, Kobus Barnard
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
15 years 10 months ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou
CVPR
2007
IEEE
16 years 8 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
HICSS
2010
IEEE
199views Biometrics» more  HICSS 2010»
16 years 27 days ago
Decelerated IT Innovation: Negotiating Global IT Innovation Initiatives in Local Settings
We examine IT innovation processes and associated effects on industrial automation for a global supplier of high-technology automation equipment (ABB) and their customer (LKAB), a...
Johan Sandberg, Jonny Holmstrom, Kalle Lyytinen
TMI
2011
127views more  TMI 2011»
15 years 29 days ago
Reconstruction of Large, Irregularly Sampled Multidimensional Images. A Tensor-Based Approach
Abstract—Many practical applications require the reconstruction of images from irregularly sampled data. The spline formalism offers an attractive framework for solving this prob...
Oleksii Vyacheslav Morozov, Michael Unser, Patrick...