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» Supervised Learning of Edges and Object Boundaries
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CVPR
2009
IEEE
16 years 4 months ago
Learning Invariant Features Through Topographic Filter Maps
Several recently-proposed architectures for highperformance object recognition are composed of two main stages: a feature extraction stage that extracts locallyinvariant feature...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergu...
ICIAR
2009
Springer
14 years 7 months ago
Invariant Shape Matching for Detection of Semi-local Image Structures
Abstract. Shape features applied to object recognition has been actively studied since the beginning of the field in 1950s and remain a viable alternative to appearance based metho...
Lech Szumilas, Horst Wildenauer, Allan Hanbury
COLT
2007
Springer
15 years 3 months ago
Resource-Bounded Information Gathering for Correlation Clustering
We present a new class of problems, called resource-bounded information gathering for correlation clustering. Our goal is to perform correlation clustering under circumstances in w...
Pallika Kanani, Andrew McCallum
ICASSP
2011
IEEE
14 years 1 months ago
Exploiting active-learning strategies for annotating prosodic events with limited labeled data
Many applications of spoken-language systems can benefit from having access to annotations of prosodic events. Unfortunately, obtaining human annotations of these events, even se...
Raul Fernandez, Bhuvana Ramabhadran
ECCV
2010
Springer
15 years 25 days ago
Optimal Contour Closure by Superpixel Grouping
Abstract. Detecting contour closure, i.e., finding a cycle of disconnected contour fragments that separates an object from its background, is an important problem in perceptual gro...