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» Online Selection of Tracking Features using AdaBoost
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ICML
1994
IEEE
15 years 7 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee
ICPR
2006
IEEE
16 years 5 months ago
A Psychological Adaptive Model For Video Analysis
Extracting key-frames is the first step for efficient content-based indexing, browsing and retrieval of the video data in commercial movies. Most of the existing research deals wi...
B. Bhanu, N. Ghosh
AIED
2009
Springer
15 years 10 months ago
Intelligent Learning Object Guide (iLOG): A Framework for Automatic Empirically-Based Metadata Generation
Abstract. We present a framework for the automatic annotation of learning objects (LOs) with empirical usage metadata. Our implementation of the Intelligent Learning Object Guide (...
S. A. Riley, Lee Dee Miller, Leen-Kiat Soh, Ashok ...
ICCS
2004
Springer
15 years 9 months ago
Rule-Based Visualization in a Computational Steering Collaboratory
Abstract. In this paper, we introduce the concept of rule-based visualization for a computational steering collaboratory and show how these rules can be used to steer the behaviors...
Lian Jiang, Hua Liu, Manish Parashar, Deborah Silv...
ISESE
2003
IEEE
15 years 9 months ago
Analogy Based Prediction of Work Item Flow in Software Projects: a Case Study
A software development project coordinates work by using work items that represent customer, tester, and developer found defects, enhancements, and new features. We set out to fac...
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