@inproceedings{eec52ef9702e40d885f0d14660ce4a29,
title = "Efficient GHA-based hardware architecture for texture classification",
abstract = "This paper presents a novel hardware architecture based on generalized Hebbian algorithm (GHA) for texture classification. In the architecture, the weight vector updating process is separated into a number of stages for lowering area costs and increasing computational speed. Both the weight vector updating process and principle component computation process can also operate concurrently to further enhance the throughput. The proposed architecture has been embedded in a system-on-programmable-chip (SOPC) platform for physical performance measurement. Experimental results show that the proposed architecture is an efficient design for attaining both high speed performance and low area costs.",
author = "Shiow-Jyu Lin and Hung, {Yi Tsan} and Hwang, {Wen Jyi}",
year = "2010",
month = dec,
day = "6",
doi = "10.1007/978-3-642-16732-4_22",
language = "English",
isbn = "3642167314",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "203--212",
booktitle = "Computational Collective Intelligence",
edition = "PART 2",
note = "null ; Conference date: 10-11-2010 Through 12-11-2010",
}