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DAGM
2005
Springer
15 years 9 months ago
Spiders as Robust Point Descriptors
This paper introduces a new operator to characterize a point in an image in a distinctive and invariant way. The robust recognition of points is a key technique in computer vision:...
Adam Stanski, Olaf Hellwich
GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
15 years 9 months ago
XCS for robust automatic target recognition
A primary strength of the XCS approach is its ability to create maximally accurate general rules. In automatic target recognition (ATR) there is a need for robust performance beyo...
B. Ravichandran, Avinash Gandhe, Robert E. Smith
ICANN
2005
Springer
15 years 9 months ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...
MMSEC
2004
ACM
209views Multimedia» more  MMSEC 2004»
15 years 9 months ago
Robust DWT-SVD domain image watermarking: embedding data in all frequencies
Protection of digital multimedia content has become an increasingly important issue for content owners and service providers. As watermarking is identified as a major technology t...
Emir Ganic, Ahmet M. Eskicioglu
ECML
2003
Springer
15 years 9 months ago
Robust k-DNF Learning via Inductive Belief Merging
A central issue in logical concept induction is the prospect of inconsistency. This problem may arise due to noise in the training data, or because the target concept does not fit...
Frédéric Koriche, Joël Quinquet...