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» Learning By Observation Using Qualitative Spatial Relations
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NIPS
2003
13 years 9 months ago
Discriminative Fields for Modeling Spatial Dependencies in Natural Images
In this paper we present Discriminative Random Fields (DRF), a discriminative framework for the classification of natural image regions by incorporating neighborhood spatial depe...
Sanjiv Kumar, Martial Hebert
STOC
2001
ACM
104views Algorithms» more  STOC 2001»
14 years 8 months ago
Spatial gossip and resource location protocols
The dynamic behavior of a network in which information is changing continuously over time requires robust and efficient mechanisms for keeping nodes updated about new information. ...
David Kempe, Jon M. Kleinberg, Alan J. Demers
AEI
2010
136views more  AEI 2010»
13 years 7 months ago
Bridging the sense-reasoning gap: DyKnow - Stream-based middleware for knowledge processing
nizing multiple forms of information and knowledge processing on different levels of abstraction in a structured and principled manner. We propose knowledge processing middleware a...
Fredrik Heintz, Jonas Kvarnström, Patrick Doh...
EUROSPI
2004
Springer
14 years 1 months ago
Discovering the Relation Between Project Factors and Project Success in Post-mortem Evaluations
Post-mortem project reviews often yield useful lessons learned. These project reviews are mostly recorded in plain text. This makes it difficult to derive useful overall findings ...
Joost J. P. Schalken, Sjaak Brinkkemper, Hans van ...
ICML
2001
IEEE
14 years 8 months ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...