ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1303.0582
  4. Cited By
Multiple Kernel Sparse Representations for Supervised and Unsupervised
  Learning
v1v2 (latest)

Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning

3 March 2013
Jayaraman J. Thiagarajan
Karthikeyan N. Ramamurthy
A. Spanias
    SSL
ArXiv (abs)PDFHTML

Papers citing "Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning"

13 / 13 papers shown
Title
Anomaly Detection with Selective Dictionary Learning
Anomaly Detection with Selective Dictionary Learning
Denis C. Ilie-Ablachim
Bogdan Dumitrescu
14
5
0
17 Jul 2023
Reduced Kernel Dictionary Learning
Reduced Kernel Dictionary Learning
Denis C. Ilie-Ablachim
Bogdan Dumitrescu
19
0
0
17 Jul 2023
Classification with Incoherent Kernel Dictionary Learning
Classification with Incoherent Kernel Dictionary Learning
Denis C. Ilie-Ablachim
Bogdan Dumitrescu
17
0
0
17 Jul 2023
A Coupled Manifold Optimization Framework to Jointly Model the
  Functional Connectomics and Behavioral Data Spaces
A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces
N. S. D'Souza
M. B. Nebel
N. Wymbs
S. Mostofsky
A. Venkataraman
16
5
0
03 Jul 2020
Interpretable Multiple-Kernel Prototype Learning for Discriminative
  Representation and Feature Selection
Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection
Babak Hosseini
Barbara Hammer
19
1
0
10 Nov 2019
Unsupervised Feature Learning with K-means and An Ensemble of Deep
  Convolutional Neural Networks for Medical Image Classification
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification
Euijoon Ahn
Ashnil Kumar
Dagan Feng
M. Fulham
Jinman Kim
SSLOOD
38
23
0
07 Jun 2019
Flexibly Regularized Mixture Models and Application to Image
  Segmentation
Flexibly Regularized Mixture Models and Application to Image Segmentation
Jonathan Vacher
Claire Launay
Ruben Coen-Cagli
18
12
0
25 May 2019
Convolutional Sparse Kernel Network for Unsupervised Medical Image
  Analysis
Convolutional Sparse Kernel Network for Unsupervised Medical Image Analysis
Euijoon Ahn
Jinman Kim
Ashnil Kumar
M. Fulham
Da-wei Feng
51
2
0
16 Jul 2018
Optimizing Kernel Machines using Deep Learning
Optimizing Kernel Machines using Deep Learning
Huan Song
Jayaraman J. Thiagarajan
P. Sattigeri
A. Spanias
67
53
0
15 Nov 2017
Manifold regularization based on Nystr{ö}m type subsampling
Manifold regularization based on Nystr{ö}m type subsampling
Abhishake Rastogi
Sivananthan Sampath
29
4
0
13 Oct 2017
On the Reconstruction Risk of Convolutional Sparse Dictionary Learning
On the Reconstruction Risk of Convolutional Sparse Dictionary Learning
Shashank Singh
Barnabás Póczós
Jian Ma
83
2
0
29 Aug 2017
A Deep Learning Approach To Multiple Kernel Fusion
A Deep Learning Approach To Multiple Kernel Fusion
Huan Song
Jayaraman J. Thiagarajan
P. Sattigeri
Karthikeyan N. Ramamurthy
A. Spanias
65
18
0
28 Dec 2016
Autism Spectrum Disorder Classification using Graph Kernels on
  Multidimensional Time Series
Autism Spectrum Disorder Classification using Graph Kernels on Multidimensional Time Series
Rushil Anirudh
Jayaraman J. Thiagarajan
Irene Kim
W. Polonik
46
7
0
29 Nov 2016
1