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CVPR
2008
IEEE
14 years 10 months ago
Boosting adaptive linear weak classifiers for online learning and tracking
Online boosting methods have recently been used successfully for tracking, background subtraction etc. Conventional online boosting algorithms emphasize on interchanging new weak ...
Toufiq Parag, Fatih Porikli, Ahmed M. Elgammal
ICASSP
2011
IEEE
13 years 6 days ago
Bayesian reinforcement learning for POMDP-based dialogue systems
Spoken dialogue systems are gaining popularity with improvements in speech recognition technologies. Dialogue systems can be modeled effectively using POMDPs, achieving improvemen...
ShaoWei Png, Joelle Pineau
AAAI
2008
13 years 10 months ago
Learning to Improve Earth Observation Flight Planning
This paper describes a method and system for integrating machine learning with planning and data visualization for the management of mobile sensors for Earth science investigation...
Robert A. Morris, Nikunj C. Oza, Leslie Keely, Eli...
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
14 years 8 months ago
On updates that constrain the features' connections during 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, Jian Huang 0002
EDM
2010
170views Data Mining» more  EDM 2010»
13 years 10 months ago
Online Curriculum Planning Behavior of Teachers
Curriculum planning is perhaps one of the most important tasks teachers must perform before instruction. While this task is facilitated by a wealth of existing online tools and res...
Keith E. Maull, Manuel Gerardo Saldivar, Tamara Su...