Kaizhu Huang
Kaizhu Huang
Professor of Electrical and Electronic Engineering, Xi'an Jiaotong Liverpool University
Dirección de correo verificada de xjtlu.edu.cn - Página principal
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Robust text detection in natural scene images
XC Yin, X Yin, K Huang, HW Hao
IEEE transactions on pattern analysis and machine intelligence 36 (5), 970-983, 2013
6222013
Localized support vector regression for time series prediction
H Yang, K Huang, I King, MR Lyu
Neurocomputing 72 (10-12), 2659-2669, 2009
1622009
Learning classifiers from imbalanced data based on biased minimax probability machine
K Huang, H Yang, I King, MR Lyu
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
1322004
Sparse metric learning via smooth optimization
Y Ying, K Huang, C Campbell
Advances in neural information processing systems, 2214-2222, 2009
1222009
Customer churn prediction in the telecommunication sector using a rough set approach
A Amin, S Anwar, A Adnan, M Nawaz, K Alawfi, A Hussain, K Huang
Neurocomputing 237, 242-254, 2017
1142017
The minimum error minimax probability machine
K Huang, H Yang, I King, MR Lyu, L Chan
Journal of Machine Learning Research 5 (Oct), 1253-1286, 2004
1082004
A unified gradient regularization family for adversarial examples
C Lyu, K Huang, HN Liang
2015 IEEE International Conference on Data Mining, 301-309, 2015
1012015
Chinese Academy of Sciences
JJ Zhang
Status and Perspectives on Trans-Petaflops HPC Development in China …, 2011
912011
Biased support vector machine for relevance feedback in image retrieval
CH Hoi, CH Chan, K Huang, MR Lyu, I King
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004
882004
Fast kNN Graph Construction with Locality Sensitive Hashing
YM Zhang, K Huang, G Geng, CL Liu
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
832013
Machine learning: modeling data locally and globally
KZ Huang, H Yang, I King, MR Lyu
Springer Science & Business Media, 2008
82*2008
Maxi–min margin machine: learning large margin classifiers locally and globally
K Huang, H Yang, I King, MR Lyu
IEEE Transactions on Neural Networks 19 (2), 260-272, 2008
822008
Imbalanced learning with a biased minimax probability machine
K Huang, H Yang, I King, MR Lyu
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 36 …, 2006
752006
Learning large margin classifiers locally and globally
K Huang, H Yang, I King, MR Lyu
Proceedings of the twenty-first international conference on Machine learning, 51, 2004
722004
Hybrid metaheuristic algorithms: past, present, and future
TO Ting, XS Yang, S Cheng, K Huang
Recent advances in swarm intelligence and evolutionary computation, 71-83, 2015
712015
A scalable deep neural network architecture for multi-building and multi-floor indoor localization based on Wi-Fi fingerprinting
KS Kim, S Lee, K Huang
Big Data Analytics 3 (1), 4, 2018
612018
Sparse learning for support vector classification
K Huang, D Zheng, J Sun, Y Hotta, K Fujimoto, S Naoi
Pattern Recognition Letters 31 (13), 1944-1951, 2010
602010
Enhanced protein fold recognition through a novel data integration approach
Y Ying, K Huang, C Campbell
BMC bioinformatics 10 (1), 267, 2009
592009
IAN: the individual aggregation network for person search
J Xiao, Y Xie, T Tillo, K Huang, Y Wei, J Feng
Pattern Recognition 87, 332-340, 2019
572019
Gsml: A unified framework for sparse metric learning
K Huang, Y Ying, C Campbell
Data Mining, 2009. ICDM'09. Ninth IEEE International Conference on, 189-198, 2009
502009
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Artículos 1–20