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ECIR
2007
Springer
14 years 11 months ago
Active Learning with History-Based Query Selection for Text Categorisation
Automated text categorisation systems learn a generalised hypothesis from large numbers of labelled examples. However, in many domains labelled data is scarce and expensive to obta...
Michael Davy, Saturnino Luz
MSE
1999
IEEE
110views Hardware» more  MSE 1999»
15 years 2 months ago
Active Learning in an Electronic Design Automation Course
This paper summarizes the rationale behind revision of an electronic design automation course and the resulting learning objectives and course model. Early experiences are highlig...
Diane T. Rover, Nayda G. Santiago, Mel M. Tsai
ICVGIP
2004
14 years 11 months ago
A Framework for Activity Recognition and Detection of Unusual Activities
In this paper we present a simple framework for activity recognition based on a model of multi-layered finite state machines, built on top of a low level image processing module f...
Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalr...
KDD
2008
ACM
207views Data Mining» more  KDD 2008»
15 years 10 months ago
Active learning with direct query construction
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
Charles X. Ling, Jun Du
CVPR
2008
IEEE
15 years 11 months ago
Semi-supervised SVM batch mode active learning for image retrieval
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....