Cited By
View all- Holmes GFrank EFletcher D(2023)Image Classification Using Class-Agnostic Object DetectionArtificial Intelligence Applications and Innovations10.1007/978-3-031-34111-3_22(255-266)Online publication date: 1-Jun-2023
A novel co-training algorithm for semi-supervised image classification is proposed.The proposed algorithm is able to learn two independent and sufficient representations automatically from the images.The proposed algorithm achieves good results for ...
In this paper, we propose a novel framework for image recognition based on an extended sparse model. First, inspired by the impressive results of CNN over different tasks in computer vision, we use the CNN models pre-trained on large datasets to generate ...
With the massive growth of digital image data uploaded to the Internet, classifying each image into appropriate semantic category with respect to its image content for image index and image retrieval has become an increasingly difficult and laborious ...
Association for Computing Machinery
New York, NY, United States
View or Download as a PDF file.
PDFView online with eReader.
eReaderView this article in HTML Format.
HTML FormatCheck if you have access through your login credentials or your institution to get full access on this article.
Sign in