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ICITA
2005
IEEE
14 years 1 months ago
Combining Diversity-Based Active Learning with Discriminant Analysis in Image Retrieval
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
ISVC
2010
Springer
13 years 6 months ago
How to Overcome Perceptual Aliasing in ASIFT?
SIFT is one of the most popular algorithms to extract points of interest from images. It is a scale+rotation invariant method. As a consequence, if one compares points of interest ...
Nicolas Noury, Frédéric Sur, Marie-O...
CGF
2005
142views more  CGF 2005»
13 years 7 months ago
Garment Motion Capture Using Color-Coded Patterns
In this paper we present an image-based algorithm for surface reconstruction of moving garment from multiple calibrated video cameras. Using a color-coded cloth texture, we reliab...
Volker Scholz, Timo Stich, Michael Keckeisen, Mark...
IBPRIA
2003
Springer
14 years 28 days ago
Reducing Training Sets by NCN-based Exploratory Procedures
In this paper, a new approach to training set size reduction is presented. This scheme basically consists of defining a small number of prototypes that represent all the original ...
María Teresa Lozano, José Salvador S...
CIVR
2007
Springer
157views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Using multiple segmentations for image auto-annotation
Automatic image annotation techniques that try to identify the objects in images usually need the images to be segmented first, especially when specifically annotating image reg...
Jiayu Tang, Paul H. Lewis