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CVPR
2007
IEEE
15 years 7 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 6 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 3 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...
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
15 years 4 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor
ECTEL
2009
Springer
15 years 9 months ago
A Comparison of Paper-Based and Online Annotations in the Workplace
While reading documents, people commonly make annotations: they underline or highlight text and write comments in the margin. Making annotations during reading activities has been ...
Ricardo Kawase, Eelco Herder, Wolfgang Nejdl