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ICCV
2005
IEEE
15 years 5 months ago
LOCUS: Learning Object Classes with Unsupervised Segmentation
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
John M. Winn, Nebojsa Jojic
136
Voted
CVPR
2009
IEEE
16 years 7 months ago
Recognising Action as Clouds of Space-Time Interest Points
Much of recent action recognition research is based on space-time interest points extracted from video using a Bag of Words (BOW) representation. It mainly relies on the discrimi...
Matteo Bregonzio (Queen Mary, University of London...
CVPR
2000
IEEE
16 years 1 months ago
Towards Automatic Discovery of Object Categories
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Markus Weber, Max Welling, Pietro Perona
IEAAIE
2010
Springer
14 years 9 months ago
Down-Up-Down Behavior Generation for Interactive Robots
Behavior generation in humans and animals usually employs a combination of bottom-up and top-down patterns. Most available robotic architectures utilize either bottom-up or top-dow...
Yasser F. O. Mohammad, Toyoaki Nishida
DICTA
2009
14 years 9 months ago
Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment
Soft biometrics are characteristics that can be used to describe, but not uniquely identify an individual. These include traits such as height, weight, gender, hair, skin and cloth...
Simon Denman, Clinton Fookes, Alina Bialkowski, Sr...