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» Implicit Online Learning
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ICAPR
2009
Springer
15 years 2 months ago
Online Improved Eigen Tracking
We present a novel predictive statistical framework to improve the performance of an Eigen Tracker which uses fast and efficient eigen space updates to learn new views of the obje...
Subarna Tripathi, Santanu Chaudhury, Sumantra Dutt...
ICCV
2007
IEEE
15 years 11 months ago
Co-Tracking Using Semi-Supervised Support Vector Machines
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Feng Tang, Shane Brennan, Qi Zhao, Hai Tao
OSDI
2008
ACM
16 years 5 months ago
From Optimization to Regret Minimization and Back Again
Internet routing is mostly based on static information-it's dynamicity is limited to reacting to changes in topology. Adaptive performance-based routing decisions would not o...
Ioannis C. Avramopoulos, Jennifer Rexford, Robert ...
IUI
2006
ACM
15 years 11 months ago
Are two talking heads better than one?: when should use more than one agent in e-learning?
Recent interest in the use of software character agents raises the issue of how many agents should be used in online learning. In this paper we review evidence concerning the rela...
Hua Wang, Mark H. Chignell, Mitsuru Ishizuka
IV
2007
IEEE
110views Visualization» more  IV 2007»
15 years 11 months ago
Visualizing Collaborative Filtering in Digital Collections
The NEAR (Navigating Exhibitions, Annotations and Resources) panel is a method of managing digital collections and user preferences through collaborative filtering and graphically...
Victor Y. Chen, Cheryl Z. Qian, Robert F. Woodbury