… We wish to exploit this aspect in order to actively select examples that are useful for
classification. The primary contribution of this paper is an active learning method that i) can easily …

… In this paper, we propose a novel active learning framework, which is capable of building a
… incremental learning manner. Our approach advances the existing active learning methods …

… We compare the performance of acquisition functions and uncertainty estimation methods
for active learning with CNNs on image classification tasks. We show that ensemble-based …

… This paper reviews and tests the main families of active learning algorithms: committee, …
image classification tasks. This paper presents the general framework of active learning and …

… an active learning strategy. In this paper, we propose a novel adaptive active learning …
In this paper, we develop a new active learning method for image classification tasks, which …

… In this paper, we have presented an active learning framework for remote sensing image
classification. In this framework, the predictor has control on the composition of the training set …

… N ow the multi-label SVM is introduced, which will be used for active learning in this paper.
Multi-label SVM uses the one-versus4 method to combine predictions of multiple hinary SVM …

… a novel active learning … active learning task and train the model to minimize the loss function.
To the best of our knowledge, this is the first research effort to integrate an active learning …

… image classification community. In this work, a more comprehensive survey focusing on
multi-label active learning for image classification is … components of an active learning system. …

… In order to improve the classification performance while reducing the … an active deep
learning approach for HSI classification, which integrates both active learning and deep learning …