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DAGM
2007
Springer
15 years 10 months ago
How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements
Interest point detection in still images is a well-studied topic in computer vision. In the spatiotemporal domain, however, it is still unclear which features indicate useful inter...
Wolf Kienzle, Bernhard Schölkopf, Felix A. Wi...
LREC
2010
163views Education» more  LREC 2010»
15 years 8 months ago
Socially Driven Ontology Enrichment for eLearning
One of the objectives of the Language Technologies for Life-Long Learning (LTfLL) project, is to develop a knowledge sharing system that connects learners to resources and learner...
Paola Monachesi, Thomas Markus
NIPS
1998
15 years 8 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
IJCAI
1993
15 years 8 months ago
The Statistical Learning of Accurate Heuristics
Heuristics used by search algorithms are usually composed of more primitive functions which we call "features". A method for combining features is presented which is bas...
Anna Bramanti-Gregor, Henry W. Davis
JMLR
2000
134views more  JMLR 2000»
15 years 6 months ago
Learning with Mixtures of Trees
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...
Marina Meila, Michael I. Jordan