Image retrieval: Ideas, influences, and trends of the new age

R Datta, D Joshi, J Li, JZ Wang - ACM Computing Surveys (Csur), 2008 - dl.acm.org
We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

An overview of cluster-based image search result organization: background, techniques, and ongoing challenges

J Tekli - Knowledge and Information Systems, 2022 - Springer
Digital photographs and visual data have become increasingly available, especially on the
Web considered as the largest image database to date. However, the value of multimedia …

Intelligent agents with llm-based process automation

Y Guan, D Wang, Z Chu, S Wang, F Ni, R Song… - Proceedings of the 30th …, 2024 - dl.acm.org
While intelligent virtual assistants like Siri, Alexa, and Google Assistant have become
ubiquitous in modern life, they still face limitations in their ability to follow multi-step …

Correlational spectral clustering

MB Blaschko, CH Lampert - 2008 IEEE conference on …, 2008 - ieeexplore.ieee.org
We present a new method for spectral clustering with paired data based on kernel canonical
correlation analysis, called correlational spectral clustering. Paired data are common in real …

PPHOPCM: Privacy-preserving high-order possibilistic c-means algorithm for big data clustering with cloud computing

Q Zhang, LT Yang, Z Chen, P Li - IEEE Transactions on Big …, 2017 - ieeexplore.ieee.org
As one important technique of fuzzy clustering in data mining and pattern recognition, the
possibilistic c-means algorithm (PCM) has been widely used in image analysis and …

Intelligent virtual assistants with llm-based process automation

Y Guan, D Wang, Z Chu, S Wang, F Ni, R Song… - ar** the rich meta-information of
multimedia web documents, including category, annotation, and description, for associative …

Igroup: web image search results clustering

F **g, C Wang, Y Yao, K Deng, L Zhang… - Proceedings of the 14th …, 2006 - dl.acm.org
In this paper, we propose, IGroup, an efficient and effective algorithm that organizes Web
image search results into clusters. IGroup is different from all existing Web image search …