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ICPR
2008
IEEE
16 years 1 months ago
Prior-updating ensemble learning for discrete HMM
Ensemble learning is a variational Bayesian method in which an intractable distribution is approximated by a lower-bound. Ensemble learning results in models with better generaliz...
Gyeongyong Heo, Paul D. Gader
HCI
2007
15 years 8 months ago
Improving the Mobility Performance of Autonomous Unmanned Ground Vehicles by Adding the Ability to 'Sense/Feel' Their Local Envi
This paper explores how a ‘learning’ algorithm can be added to UGV’s by giving it the ability to test the terrain through ‘feeling’ using incorporated sensors, which woul...
Siddharth Odedra, Stephen D. Prior, Mehmet Karaman...
BMVC
2010
15 years 4 months ago
Localized fusion of Shape and Appearance features for 3D Human Pose Estimation
This paper presents a learning-based method for combining the shape and appearance feature types for 3D human pose estimation from single-view images. Our method is based on clust...
Suman Sedai, Mohammed Bennamoun, Du Q. Huynh
IADIS
2004
15 years 8 months ago
Electronic case studies: a problem-based learning approach
E-Cases is an innovative approach to management development. Traditional case studies typically describe a decision or a problem in a real-life setting. E-Cases encourage students...
Philip M. Drinkwater, Christopher P. Holland, K. N...
AI
2007
Springer
15 years 6 months ago
Argument based machine learning
We present a novel approach to machine learning, called ABML (argumentation based ML). This approach combines machine learning from examples with concepts from the field of argum...
Martin Mozina, Jure Zabkar, Ivan Bratko