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CVPR
2007
IEEE
16 years 3 days ago
Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts
This paper proposes a novel approach to constructing a hierarchical representation of visual input that aims to enable recognition and detection of a large number of object catego...
Sanja Fidler, Ales Leonardis
ICML
2004
IEEE
15 years 11 months ago
Learning first-order rules from data with multiple parts: applications on mining chemical compound data
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
WMTE
2006
IEEE
15 years 4 months ago
Entre-pass: Personalising u-learning with Intelligent Agents
Delivering learning materials anytime, anywhere is the goal underpinning the ubiquitous learning (u-learning) paradigm. Personalising u-learning courseware delivers a unique learn...
Brid C. Doherty, P. T. O'Hare, Michael J. O'Grady,...
BXML
2003
14 years 11 months ago
An Instructional Component for Dynamic Course Generation and Delivery
: E-Learning offers the advantage of interactivity: an E-Learning system can adapt the learning materials to suit the learner’s personality and his goals, and it can react to the...
Carsten Ullrich
CLEF
2007
Springer
15 years 4 months ago
MIRACLE at ImageCLEFanot 2007: Machine Learning Experiments on Medical Image Annotation
This paper describes the participation of MIRACLE research consortium at the ImageCLEF Medical Image Annotation task of ImageCLEF 2007. Our areas of expertise do not include image...
Sara Lana-Serrano, Julio Villena-Román, Jos...