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ICASSP
2011
IEEE
14 years 4 months ago
Fully non-local super-resolution via spectral hashing
Super-resolution is the task of creating an high resolution image from a low resolution input sequence. To overcome the difficulties of fine image registration, several methods ...
Emmanuel d'Angelo, Pierre Vandergheynst
120
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TCS
2008
15 years 17 days ago
Main-memory triangle computations for very large (sparse (power-law)) graphs
Finding, counting and/or listing triangles (three vertices with three edges) in massive graphs are natural fundamental problems, which received recently much attention because of ...
Matthieu Latapy
SSDBM
2008
IEEE
95views Database» more  SSDBM 2008»
15 years 7 months ago
Finding Frequent Items over General Update Streams
Abstract. We present novel space and time-efficient algorithms for finding frequent items over general update streams. Our algorithms are based on a novel adaptation of the popula...
Sumit Ganguly, Abhayendra N. Singh, Satyam Shankar
IWANN
2005
Springer
15 years 6 months ago
Manifold Constrained Finite Gaussian Mixtures
In many practical applications, the data is organized along a manifold of lower dimension than the dimension of the embedding space. This additional information can be used when le...
Cédric Archambeau, Michel Verleysen
ICRA
1998
IEEE
105views Robotics» more  ICRA 1998»
15 years 5 months ago
PSOM Network: Learning with Few Examples
: Precise sensorimotor mappings between various motor, ensor, and abstract physical spaces are the basis for many robotics tasks. Their cheap construction is a challenge for adapti...
Jörg A. Walter