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CVPR
2010
IEEE
16 years 26 days ago
Tracking the Invisible: Learning Where the Object Might be
Objects are usually embedded into context. Visual context has been successfully used in object detection tasks, however, it is often ignored in object tracking. We propose a metho...
Helmut Grabner, Jiri Matas, Philippe Cattin, Luc V...
CSIE
2009
IEEE
15 years 11 months ago
Automatic Preposition Errors Correction Using Inductive Learning
In this paper, we describe a system for correcting English preposition errors automatically. Non-native English writers often make these errors. Our system uses rules extracted au...
Hokuto Ototake, Kenji Araki
IJCAI
1989
15 years 5 months ago
Learning to Diagnose by Doing
This paper is a study on the process of evolution of a novice to an expert in a diagnostic context. In er, we have chosen an abstract example of a diagnostic problem. The results ...
Jayant Kalagnanam, Eswaran Subrahmanian
TSE
2002
133views more  TSE 2002»
15 years 4 months ago
Quality, Productivity, and Learning in Framework-Based Development: An Exploratory Case Study
This paper presents an empirical study in an industrial context on the production of software using a framework. Frameworks are semicomplete applications, usually implemented as a ...
Maurizio Morisio, Daniele Romano, Ioannis Stamelos
KES
2007
Springer
15 years 10 months ago
Predictive and Contextual Feature Separation for Bayesian Metanetworks
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
Vagan Y. Terziyan