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» Lazy texture selection based on active learning
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PR
2007
205views more  PR 2007»
13 years 5 months ago
Active learning for image retrieval with Co-SVM
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning alg...
Jian Cheng, Kongqiao Wang
ECML
2006
Springer
13 years 10 months ago
A Selective Sampling Strategy for Label Ranking
Abstract. We propose a novel active learning strategy based on the compression framework of [9] for label ranking functions which, given an input instance, predict a total order ov...
Massih-Reza Amini, Nicolas Usunier, Françoi...
ICIP
2007
IEEE
14 years 8 months ago
Iterative Feature Selection for Color Texture Classification
In this paper, we describe a new approach for color texture classification by use of Haralick features extracted from color co-occurrence matrices. As the color of each pixel can ...
Alice Porebski, Nicolas Vandenbroucke, Ludovic Mac...
ECIR
2007
Springer
13 years 7 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
SAC
2009
ACM
14 years 1 months ago
Music retrieval based on a multi-samples selection strategy for support vector machine active learning
In active learning based music retrieval systems, providing multiple samples to the user for feedback is very necessary. In this paper, we present a new multi-samples selection st...
Tian-Jiang Wang, Gang Chen, Perfecto Herrera