S Bahrampour, A Ray… - Proceedings of the …, 2014 - openaccess.thecvf.com
Recent studies have demonstrated advantages of information fusion based on sparsity models for multimodal classification. Among several sparsity models, tree-structured sparsity …
G Yan, DB Rawat, S El-Tawab - 2009 IEEE 6th International …, 2009 - ieeexplore.ieee.org
One of the notoriously difficult problems in vehicular ad-hoc networks is to ensure that established paths do not break before the end of data transmission. This is a difficult …
K Salahshoor, HK Alaei… - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
A new PCA adaptive algorithm is introduced, utilizing a rough fuzzy cluster-based granulation scheme for fault detection and diagnosis purposes. This granulated cluster …
This chapter studies the problem of time-series classification and presents an overview of recent developments in the area of feature extraction and information fusion. In particular, a …
Sparse representation methods have recently attracted much attention in the signal processing and machine learning community. The main underlying idea is that most of …