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» Learning the Relative Importance of Features in Image Data
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133
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ICASSP
2010
IEEE
15 years 3 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
CISST
2004
186views Hardware» more  CISST 2004»
15 years 5 months ago
Colour and Shape Based Image Retrieval for CVPIC Coded Images
Abstract Compressed domain image retrieval is going to play an increasingly important role in the future. It allows the calculation of image features and hence content-based image ...
Gerald Schaefer, Simon Lieutaud
115
Voted
BMCBI
2008
114views more  BMCBI 2008»
15 years 3 months ago
Indel PDB: A database of structural insertions and deletions derived from sequence alignments of closely related proteins
Background: Insertions and deletions (indels) represent a common type of sequence variations, which are less studied and pose many important biological questions. Recent research ...
Michael Hsing, Artem Cherkasov
149
Voted
PR
2008
218views more  PR 2008»
15 years 3 months ago
Automatic feature localisation with constrained local models
We present an efficient and robust method of locating a set of feature points in an object of interest. From a training set we construct a joint model of the appearance of each fe...
David Cristinacce, Timothy F. Cootes
IJCNN
2007
IEEE
15 years 10 months ago
Agnostic Learning vs. Prior Knowledge Challenge
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...