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» Set cover algorithms for very large datasets
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JEI
2007
79views more  JEI 2007»
15 years 4 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 10 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 9 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 6 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 9 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...