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ICCV
2005
IEEE
15 years 5 months ago
LOCUS: Learning Object Classes with Unsupervised Segmentation
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
John M. Winn, Nebojsa Jojic
MCS
2009
Springer
15 years 4 months ago
Incremental Learning of Variable Rate Concept Drift
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Ryan Elwell, Robi Polikar
EDUTAINMENT
2006
Springer
15 years 3 months ago
Effects of Guided and Unguided Style Learning on User Attention in a Virtual Environment
Abstract. In this paper, we investigated the effects of guided and unguided style VR learning on user attention and retained knowledge. We conducted a study where users performed g...
Jayoung J. Goo, Kyoung Shin Park, Moonhoen Lee, Ji...
EDM
2008
193views Data Mining» more  EDM 2008»
15 years 1 months ago
Can we predict which groups of questions students will learn from?
In a previous study ([4]), we used the ASSISTment system to track student knowledge longitudinally over the course of a schools year, based upon each student using our system about...
Mingyu Feng, Neil T. Heffernan, Joseph E. Beck, Ke...
INTERACT
2007
15 years 1 months ago
Interactive Floor Support for Kinesthetic Interaction in Children Learning Environments
Abstract. This paper introduces a novel kinesthetic interaction technique for interactive floors. The interaction techniques utilize vision-based limb tracking on an interactive fl...
Kaj Grønbæk, Ole Sejer Iversen, Karen...