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ICASSP
2010
IEEE
15 years 7 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
PRL
2006
99views more  PRL 2006»
15 years 7 months ago
An ensemble-driven k-NN approach to ill-posed classification problems
This paper addresses the supervised classification of remote-sensing images in problems characterized by relatively small-size training sets with respect to the input feature spac...
Mingmin Chi, Lorenzo Bruzzone
JMIV
2002
78views more  JMIV 2002»
15 years 6 months ago
A Deformable Template Model, with Special Reference to Elliptical Templates
This paper suggests a high-level continuous image model for planar star-shaped objects. Under this model, a planar object is a stochastic deformation of a star-shaped template. The...
Asger Hobolth, Jan Pedersen, Eva B. Vedel Jensen
ICASSP
2011
IEEE
14 years 10 months ago
Multiple instance tracking based on hierarchical maximizing bag's margin boosting
In online tracking, the tracker evolves to reflect variations in object appearance and surroundings. This updating process is formulated as a supervised learning problem, thus a ...
Chunxiao Liu, Guijin Wang, Xinggang Lin, Bobo Zeng
ICPR
2004
IEEE
16 years 8 months ago
Simple Calibration Without Metric Information Using an Isoceles Trapezoid
This paper addresses the problem of calibrating a pinhole camera from images of an isoceles trapezoid. Assuming a unit aspect ratio and zero skew, we introduce a novel and simple ...
Hassan Foroosh, Xiaochun Cao
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