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» Geographic representation in spatial analysis
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CVPR
2010
IEEE
15 years 10 months ago
Hierarchical Convolutional Sparse Image Decomposition
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
Matthew Zeiler, Dilip Krishnan, Graham Taylor, Rob...
SAC
2002
ACM
15 years 1 months ago
The P-tree algebra
The Peano Count Tree (P-tree) is a quadrant-based lossless tree representation of the original spatial data. The idea of P-tree is to recursively divide the entire spatial data, s...
Qin Ding, Maleq Khan, Amalendu Roy, William Perriz...
PAMI
2012
13 years 4 months ago
M-Idempotent and Self-Dual Morphological Filters
—In this paper, we present a comprehensive analysis of self-dual and m-idempotent operators. We refer to an operator as m-idempotent if it converges after m iterations. We focus ...
Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan...
CVPR
2010
IEEE
15 years 8 months ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal
COSIT
2007
Springer
153views GIS» more  COSIT 2007»
15 years 5 months ago
Effects of Geometry, Landmarks and Orientation Strategies in the 'Drop-Off' Orientation Task
Previous work is reviewed and an experiment described to examine the spatial and strategic cognitive factors impacting on human orientation in the `drop-off' static orientatio...
David Peebles, Clare Davies, Rodrigo Mora