Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
: This paper presents an overview over parallel architectures for the efficient realisation of digital libraries by considering image databases as an example. The state of the art ...
: This paper discusses the speech morphing process showing some limitations of using the directly obtained LPC and excitation parameters of speech. The algorithm here depends on ch...
The matching and retrieval of 2D shapes is an important
challenge in computer vision. A large number of shape
similarity approaches have been developed, with the main
focus bein...
Xingwei Yang (Temple University), Suzan Koknar-Tez...
In reconfigurable systems, reconfiguration latency is a very important factor impact the system performance. In this paper, a framework is proposed that integrates the temporal pa...
Farhad Mehdipour, Morteza Saheb Zamani, H. R. Ahma...