Browsing by Author "Chuang, S. C."

Now showing 1 - 2 of 2

An EM based multiple instance learning method for image classification
(2008-10-01)
Pao, H. T.
;
Chuang, S. C.
;
Xu, Y. Y.
;
Fu, Hsin-Chia
;
資訊工程學系
In this paper, we propose an EM based learning algorithm to provide a comprehensive procedure for maximizing the measurement of diverse density on given multiple Instances. Furthermore, the new EM based learning framework converts an MI problem into a single-instance treatment by using EM to maximize the instance responsibility for the corresponding label of each bag. To learn a desired image class, a user may select a set of exemplar images and label them to be conceptual related (positive) or conceptual unrelated (negative) images. A positive image consists of at least one object that the user may be interested, and a negative image should not contain any object that the user may be interested. By using the proposed EM based learning algorithm, an image retrieval prototype system is implemented. Experimental results show that for only a few times of relearning cycles, the prototype system can retrieve user's favor images from WWW over Internet. (C) 2007 Published by Elsevier Ltd.
Image classification and indexing by EM based multiple-instance learning
(2007)
Pao, H. T.
;
Xu, Y. Y.
;
Chuang, S. C.
;
Fu, H. C.
;
管理科學系
In this paper, we propose an EM based Multiple-Instance learning algorithm for the image classification and indexing. To learn a desired image class, a set of exemplar images are selected by a user. Each example is labeled as conceptual related (positive) or conceptual unrelated (negative) image. A positive image consists of at least one user interested object, and a negative example should not contain any user interested object. By using the proposed learning algorithm, an image classification system can learn the user's preferred image class from the positive and negative examples. We have built a prototype system to retrieve user desired images. The experimental results show that for only a few times of relearning, a user can use the prototype system to retrieve favor images from the WWW over Internet.