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ICPR
2010
IEEE
13 years 8 months ago
Online Learning with Self-Organizing Maps for Anomaly Detection in Crowd Scenes
Detecting abnormal behaviors in crowd scenes is quite important for public security and has been paid more and more attentions. Most previous methods use offline trained model to p...
Jie Feng, Chao Zhang, Pengwei Hao
JMLR
2012
12 years 17 days ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
HICSS
2006
IEEE
86views Biometrics» more  HICSS 2006»
14 years 4 months ago
How Voluntary Online Learning Communities Emerge in Blended Courses
A comparative case study used content analysis to observe the emergence of voluntary online learning communities in two blended courses. The study developed an interaction-based a...
Robert Heckman, Qing Li, Xue Xiao
ACSC
2005
IEEE
14 years 2 days ago
Gradiance On-Line Accelerated Learning
Gradiance On-Line Accelerated Learning GOAL is a system for creating and automatically grading homeworks, programming laboratories, and tests. Through the concept of root questi...
Jeffrey D. Ullman
DGO
2003
111views Education» more  DGO 2003»
13 years 11 months ago
Assessing the Usefulness and Usability of Online Learning Activities: MapStats for Kids
MapStats for Kids is concerned with the development of online learning activities based on data from the FedStats web portal. The development of these web applications requires th...
Sven Fuhrmann, John Bosley, Roger Downs, Mark Gahe...