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Dynamic learning from multiple examples for semantic object segmentation and search
(Elsevier Science, 2004)
We present a novel ‘‘dynamic learning’’ approach for an intelligent image database system
to automatically improve object segmentation and labeling without user intervention, as new
examples become available, for ...
Object-based image labeling through learning by example and multi-level segmentation
(Elsevier Science, 2003-06)
We propose a system that employs low-level image
segmentation followed by color and two-dimensional (2-D) shape
matching to automatically group those low-level segments into objects
based on their similarity to a set ...