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EMMCVPR
2011
Springer
14 years 6 months ago
Multiple-Instance Learning with Structured Bag Models
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
Jonathan Warrell, Philip H. S. Torr
ICASSP
2009
IEEE
16 years 1 months ago
Combining VTS model compensation and support vector machines
It is difficult to adapt discriminative classifiers, particularly kernel based ones such as support vector machines (SVMs), to handle mismatches between the training and test da...
Mark J. F. Gales, Federico Flego
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
16 years 21 days ago
A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems
Abstract. Artificial systems with a high degree of autonomy require reliable semantic information about the context they operate in. State interpretation, however, is a difficult ...
Daniel Meyer-Delius, Christian Plagemann, Georg vo...
EDOC
2003
IEEE
15 years 11 months ago
A Model-Driven Transformation Method
Model-driven architectures (MDA) separate the business or application logic from the underlying platform technology and represent this logic with precise semantic models. These mo...
Jana Koehler, Rainer Hauser, Shubir Kapoor, Freder...
IV
2003
IEEE
111views Visualization» more  IV 2003»
15 years 11 months ago
A Model of Synchronous Collaborative Information Visualization
In this paper we describe a model of the process by which people solve problems using information visualization systems. The model was based on video analysis of forty dyads who p...
Gloria Mark, Keri Carpenter, Alfred Kobsa