Mar 6, 2009 · We apply our batch mode active learning framework to both text categorization and image retrieval. Promising results show that our algorithms ...

Abstract—Most machine learning tasks in data classification and information retrieval require manually labeled data examples in the training stage.

Abstract. Support vector machine (SVM) active learning is one popular and successful technique for relevance feedback in content-based image retrieval (CBIR).

Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval. Authors. M.R. Lyu · Rong Jin · S.C.H. Hoi. Publication date.

This work proposes a novel scheme for explicitly addressing the drawbacks of conventional SVM active learning, which first learns a kernel function from a ...

In this paper, we present a novel active learning algorithm that selects a batch of text documents for labeling manually in each iteration. The key of the batch ...

Support vector machine (SVM) active learning is one popular and successful technique for rel- evance feedback in content-based image retrieval (CBIR). Despite ...

We apply our batch mode active learning framework to both text categorization and image retrieval. Promising results show that our algorithms are significantly ...

Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval ; ISSN/ISBN: 0425-1644 ; DOI: 10.1109/tkde.2009.60 ; Document · 045144799 ...

Large-scale text categorization by batch mode active learning. Proc WWW2006 ... Automatic categorization of medical images for content-based retrieval and data ...