A hybrid approach combining extreme learning machine and sparse representation for image classification
- 1 January 2014
- journal article
- Published by Elsevier BV in Engineering Applications of Artificial Intelligence
- Vol. 27, 228-235
- https://doi.org/10.1016/j.engappai.2013.05.012
Abstract
No abstract availableFunding Information
- The National Natural Science Foundation of China (61273018)
- the Natural Science Foundation of Zhejiang Province of China (Y1110651)
This publication has 45 references indexed in Scilit:
- Discriminative learning by sparse representation for classificationNeurocomputing, 2011
- Optimization method based extreme learning machine for classificationNeurocomputing, 2010
- For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solutionCommunications on Pure and Applied Mathematics, 2006
- A histogram-based approach for object-based query-by-shape-and-color in image and video databasesImage and Vision Computing, 2005
- Greed is Good: Algorithmic Results for Sparse ApproximationIEEE Transactions on Information Theory, 2004
- Locally nearest neighbor classifiers for pattern classificationPattern Recognition, 2004
- Face recognition by independent component analysisIEEE Transactions on Neural Networks, 2002
- Support vector machines for face recognitionImage and Vision Computing, 2001
- Eigenfaces vs. Fisherfaces: recognition using class specific linear projectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 1997
- Matching pursuits with time-frequency dictionariesIEEE Transactions on Signal Processing, 1993