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» Set cover algorithms for very large datasets
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JEI
2007
79views more  JEI 2007»
15 years 5 months ago
Stereo matching via selective multiple windows
Window-based correlation algorithms are widely used for stereo matching due to their computational efficiency as compared to global algorithms. In this paper, a multiple window co...
Satyajit Anil Adhyapak, Nasser D. Kehtarnavaz, Mih...
IDEAS
2006
IEEE
218views Database» more  IDEAS 2006»
15 years 12 months ago
PBIRCH: A Scalable Parallel Clustering algorithm for Incremental Data
We present a parallel version of BIRCH with the objective of enhancing the scalability without compromising on the quality of clustering. The incoming data is distributed in a cyc...
Ashwani Garg, Ashish Mangla, Neelima Gupta, Vasudh...
ACML
2009
Springer
15 years 10 months ago
Learning Algorithms for Domain Adaptation
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
Manas A. Pathak, Eric Nyberg
CVPR
2005
IEEE
16 years 7 months ago
Modelling Dynamic Scenes by Registering Multi-View Image Sequences
In this paper, we present a new variational method for multi-view stereovision and non-rigid three-dimensional motion estimation from multiple video sequences. Our method minimize...
Jean-Philippe Pons, Renaud Keriven, Olivier D. Fau...
CINQ
2004
Springer
177views Database» more  CINQ 2004»
15 years 11 months ago
Generic Pattern Mining Via Data Mining Template Library
Frequent Pattern Mining (FPM) is a very powerful paradigm for mining informative and useful patterns in massive, complex datasets. In this paper we propose the Data Mining Templat...
Mohammed Javeed Zaki, Nilanjana De, Feng Gao, Paol...