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ECCV
2008
Springer
16 years 8 months ago
Semi-supervised On-Line Boosting for Robust Tracking
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...
Helmut Grabner, Christian Leistner, Horst Bischof
ICALT
2007
IEEE
16 years 20 days ago
Finding the Right Tool for the Community: Bringing a Wiki-Type Editor to the World of Reusable Learning Objects
In this paper we present a new approach to enabling pedagogically sound reuse and re-purposing of online learning objects in a community of practice. The lack of specific software...
Chu Wang, Hugh C. Davis, Kate Dickens, Gary Wills,...
CVPR
2007
IEEE
15 years 10 months ago
Improving Part based Object Detection by Unsupervised, Online Boosting
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
Bo Wu, Ram Nevatia
ITS
2000
Springer
140views Multimedia» more  ITS 2000»
15 years 10 months ago
Multi-agent Negotiation to Support an Economy for Online Help and Tutoring
We are designing a computational architecture for a "learning economy" based on personal software agents who represent users in a virtual society and assist them in find...
Chhaya Mudgal, Julita Vassileva
ICML
2006
IEEE
16 years 7 months ago
An analytic solution to discrete Bayesian reinforcement learning
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...