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Towards Ultrahigh Dimensional Feature Selection for Big Data

24 September 2012

Mingkui Tan

Ivor W. Tsang

Li Wang

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Papers citing "Towards Ultrahigh Dimensional Feature Selection for Big Data"

22 / 22 papers shown

Title
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders Zahra Atashgahi Ghada Sokar T. Lee Elena Mocanu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 94 41 0 01 Dec 2020
Location-aware Graph Convolutional Networks for Video Question Answering Deng Huang Peihao Chen Runhao Zeng Qing Du Mingkui Tan Chuang Gan GNN BDL 107 175 0 07 Aug 2020
Discrimination-aware Network Pruning for Deep Model Compression Jing Liu Bohan Zhuang Zhuangwei Zhuang Yong Guo Junzhou Huang Jin-Hui Zhu Mingkui Tan CVBM 67 119 0 04 Jan 2020
Fast Polynomial Kernel Classification for Massive Data Jinshan Zeng Minrun Wu Shao-Bo Lin Ding-Xuan Zhou TPM 55 5 0 24 Nov 2019
NAT: Neural Architecture Transformer for Accurate and Compact Architectures Yong Guo Yin Zheng Mingkui Tan Qi Chen Jian Chen P. Zhao Junzhou Huang 151 85 0 31 Oct 2019
Solving graph compression via optimal transport Vikas Garg Tommi Jaakkola OT 67 16 0 29 May 2019
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges (with Appendices on Mathematical Background and Detailed Algorithms Explanation) Juan-Luis Suárez S. García Francisco Herrera DML 120 42 0 14 Dec 2018
Discrimination-aware Channel Pruning for Deep Neural Networks Zhuangwei Zhuang Mingkui Tan Bohan Zhuang Jing Liu Yong Guo Qingyao Wu Junzhou Huang Jin-Hui Zhu 154 601 0 28 Oct 2018
Concise Explanations of Neural Networks using Adversarial Training P. Chalasani Jiefeng Chen Aravind Sadagopan S. Jha Xi Wu AAML FAtt 158 13 0 15 Oct 2018
MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution Dong Gong Mingkui Tan Javen Qinfeng Shi Anton van den Hengel Yanning Zhang 79 22 0 12 Oct 2018
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches Amirali Aghazadeh Ryan Spring Daniel LeJeune Gautam Dasarathy Anshumali Shrivastava Richard G. Baraniuk 69 32 0 12 Jun 2018
Learning SMaLL Predictors Vikas Garg O. Dekel Lin Xiao 76 3 0 06 Mar 2018
Enabling Smart Data: Noise filtering in Big Data classification Diego García-Gil Julián Luengo S. García Francisco Herrera 101 143 0 06 Apr 2017
Relevant based structure learning for feature selection Hadi Zare Mojtaba Niazi 93 20 0 29 Aug 2016
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data M. Yamada Jiliang Tang Jose Lugo-Martinez Ermin Hodzic Raunak Shrestha ... Hiroshi Mamitsuka Cenk Sahinalp P. Radivojac Filippo Menczer Yi-Ju Chang 80 68 0 14 Aug 2016
Feature Selection: A Data Perspective Jundong Li Kewei Cheng Suhang Wang Fred Morstatter Robert P. Trevino Jiliang Tang Huan Liu 94 822 0 29 Jan 2016
Scalable and Accurate Online Feature Selection for Big Data Kui Yu Xindong Wu W. Ding J. Pei 95 152 0 30 Nov 2015
Big Data Analytics in Bioinformatics: A Machine Learning Perspective H. Kashyap H. A. Ahmed N. Hoque Swarup Roy D. Bhattacharyya AI4CE 63 92 0 15 Jun 2015
Direct l_(2,p)-Norm Learning for Feature Selection Hanyang Peng Yong Fan 79 3 0 02 Apr 2015
Big Learning with Bayesian Methods Jun Zhu Jianfei Chen Wenbo Hu Bo Zhang BDL 531 84 0 24 Nov 2014
N $^3$ LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data M. Yamada A. Saha Ouyang Hua Dawei Yin Yi-Ju Chang 117 3 0 10 Nov 2014
Large-scale Online Feature Selection for Ultra-high Dimensional Sparse Data Yue-bo Wu Guosheng Lin Tao Mei Nenghai Yu 143 12 0 27 Sep 2014