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» A Learning System for Selective Dissemination of Information
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CVPR
2009
IEEE
16 years 6 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
SIGMOD
2009
ACM
218views Database» more  SIGMOD 2009»
15 years 11 months ago
Exploring biomedical databases with BioNav
We demonstrate the BioNav system, a novel search interface for biomedical databases, such as PubMed. BioNav enables users to navigate large number of query results by categorizing...
Abhijith Kashyap, Vagelis Hristidis, Michalis Petr...
AH
2000
Springer
15 years 3 months ago
A Connectionist Approach for Supporting Personalized Learning in a Web-Based Learning Environment
The paper investigates the use of computational intelligence for adaptive lesson presentation in a Web-based learning environment. A specialized connectionist architecture is devel...
Kyparisia A. Papanikolaou, George D. Magoulas, Mar...
ICCV
1999
IEEE
16 years 1 months ago
Control in a 3D Reconstruction System using Selective Perception
This paper presents a control structure for general purpose image understanding that addresses both the high level of uncertainty in local hypotheses and the computational complex...
Maurício Marengoni, Allen R. Hanson, Shlomo...
SAC
2006
ACM
15 years 5 months ago
Exploiting partial decision trees for feature subset selection in e-mail categorization
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Helmut Berger, Dieter Merkl, Michael Dittenbach