article · The Florida AI Research Society · 2016
Scalable Image Retrieval with Multimodal Fusion.
Yang Peng, Xiaofeng Zhou, Daisy Zhe Wang, Chunsheng Victor Fang
Cited by 1Abstract and details only
Abstract
The index has no abstract for this paper.
Cite this paper
Peng, Y., Zhou, X., Wang, D. Z., & Fang, C. V. (2016). Scalable Image Retrieval with Multimodal Fusion. The Florida AI Research Society, 80–85.
Peng, Yang, et al. “Scalable Image Retrieval with Multimodal Fusion.” The Florida AI Research Society, 2016, pp. 80–85.
Peng, Yang, Xiaofeng Zhou, Daisy Zhe Wang, and Chunsheng Victor Fang. 2016. “Scalable Image Retrieval with Multimodal Fusion.” The Florida AI Research Society: 80–85.
Peng, Y. et al. (2016) ‘Scalable Image Retrieval with Multimodal Fusion’, The Florida AI Research Society, pp. 80–85.
@article{peng2016scalable,
title = {{Scalable Image Retrieval with Multimodal Fusion.}},
author = {Peng, Yang and Zhou, Xiaofeng and Wang, Daisy Zhe and Fang, Chunsheng Victor},
journal = {The Florida AI Research Society},
pages = {80--85},
year = {2016}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
Related papers
A Scalable Unsupervised Deep Multimodal Learning System.
Mohammed Shameer Iqbal, Daniel L. Silver · The Florida AI Research Society · 2016
Cited by 3
Rank Fusion and Multimodal Per-topic Adaptiveness for Diverse Image Retrieval.
Rodrigo Tripodi Calumby, Iago Breno Araujo, Felipe Souza Cordeiro et al. · MediaEval · 2017
Cited by 0
An open platform for an image retrieval system
Kjell Lemström, Jouni Korte, Pyry Kuusi et al. · Scandinavian Conference on AI · 1998
Cited by 0
Narrowing the Semantic Gap in Image Retrieval: A Multimodal Approach
William I. Grosky, Rajeev K. Agrawal · Statistical science and interdisciplinary research · 2011
Cited by 2
Bridging Handcrafted and Deep Features: A Lightweight Multimodal Approach for Image Retrieval
Nissrine Baarab, Brahim E. L. Khalil Chaouki · International Conference on Circuit, Systems and Communication (ICCSC) · 2026
Cited by 0Open access
Combining Fisher Vector and Convolutional Neural Networks for Image Retrieval.
Giuseppe M. Amato, Fabrizio Falchi, Fausto Rabitti et al. · CINECA IRIS Institutial research information system (University of Pisa) · 2016
Cited by 1Open access