Search results | J. Murrey Atkins Library

Title: Hierarchical Learning of Discriminative Features and Classifiers for Large-scale Visual Recognition
Author: Zhou, Ning
Date Created: 2014
Subjects--Topical: Computer science
Description: Enabling computers to recognize objects present in images has been a long standing but tremendously challenging problem in the field of computer vision for decades. Beyond the difficulties resulting from huge appearance variations, large-scale vis...

Title: Large-scale image collection cleansing, summarization and exploration
Author: Yang, Chunlei
Date Created: 2012
Subjects--Topical: Computer science
Description: A perennially interesting topic in the research field of large scale image collection organization is how to effectively and efficiently conduct the tasks of image cleansing, summarization and exploration. The primary objective of such an image or...

Title: Representation Learning of Image Recognition: Diversity, Aspect Ratio, Invariance, and Composition
Author: Chen, Qiuyu
Date Created: 2021
Subjects--Topical: Computer science
Description: Deep neural networks (DNN) are proved to be effective and improve the performance dramatically in various kinds of computer vision tasks. The end-to-end learning manner in training DNN consistently shows the powerful modeling ability and consequen...

Title: Structural Learning for Large Scale Image Classification
Author: Shen, Yi
Date Created: 2013
Subjects--Topical: Computer science
Description: To leverage large-scale collaboratively-tagged (loosely-tagged) images for training a large number of classifiers to support large-scale image classification, we need to develop new frameworks to deal with the following issues: (1) spam tags, i.e....