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Approximation Vector Machines for Large-scale Online Learning
v1v2v3v4 (latest)

Approximation Vector Machines for Large-scale Online Learning

22 April 2016
Trung Le
T. Nguyen
Vu Nguyen
Dinh Q. Phung
ArXiv (abs)PDFHTML

Papers citing "Approximation Vector Machines for Large-scale Online Learning"

6 / 6 papers shown
Title
GBSVR: Granular Ball Support Vector Regression
R. Rastogi
Ankush Bisht
Sanjay Kumar
Suresh Chandra
74
0
0
13 Mar 2025
A Multi-parameter Updating Fourier Online Gradient Descent Algorithm for
  Large-scale Nonlinear Classification
A Multi-parameter Updating Fourier Online Gradient Descent Algorithm for Large-scale Nonlinear Classification
Yigying Chen
8
0
0
16 Mar 2022
Adversarial Noise Attacks of Deep Learning Architectures -- Stability
  Analysis via Sparse Modeled Signals
Adversarial Noise Attacks of Deep Learning Architectures -- Stability Analysis via Sparse Modeled Signals
Yaniv Romano
Aviad Aberdam
Jeremias Sulam
Michael Elad
AAML
73
22
0
29 May 2018
Deep Image Prior
Deep Image Prior
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
SupR
183
3,180
0
29 Nov 2017
Scalable Support Vector Clustering Using Budget
Scalable Support Vector Clustering Using Budget
Tung Pham
Trung Le
Hang Dang
34
4
0
19 Sep 2017
On the Global-Local Dichotomy in Sparsity Modeling
On the Global-Local Dichotomy in Sparsity Modeling
Dmitry Batenkov
Yaniv Romano
Michael Elad
78
15
0
11 Feb 2017
1