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» Unsupervised Feature Selection Using Feature Similarity
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92
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IJCV
2008
266views more  IJCV 2008»
15 years 19 days ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
EUSFLAT
2007
134views Fuzzy Logic» more  EUSFLAT 2007»
15 years 2 months ago
Selection of Optimal Set of Diagnostic Tests with Use of Evolutionary Approach in Intelligent Systems
This paper concerns problem of selection of optimal subset of irredundant unconditional diagnostic tests by means of evolutionary approach. The method of correction of features’...
A. E. Yankovskaya, Y. R. Tsoy
172
Voted
IAJIT
2011
14 years 4 months ago
A hierarchical K-NN classifier for textual data
: This paper presents a classifier that is based on a modified version of the well known K-Nearest Neighbors classifier (K-NN). The original K-NN classifier was adjusted to work wi...
Rehab M. Duwairi, Rania Al-Zubaidi
SCIA
2005
Springer
117views Image Analysis» more  SCIA 2005»
15 years 6 months ago
Mapping Perceptual Texture Similarity for Image Retrieval
Images are being produced and made available in ever increasing numbers; but how can we find images "like this one" that are of interest to us? Many different systems hav...
Janet S. Payne, T. John Stonham
82
Voted
ICIP
2010
IEEE
14 years 10 months ago
Image recognition using maximal cliques of interest points
This paper describes a method for extracting interest points in images and using interrelated groups or cliques to recognize structure common to pairs of images. Feature measureme...
Fred Stentiford, Ade Bamidele