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» Online Selection of Tracking Features using AdaBoost
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ICML
1994
IEEE
15 years 1 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
15 years 10 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 4 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 2 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...
118
Voted
ISESE
2003
IEEE
15 years 2 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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