A Random Projection Imager for Visual Pattern Classification in Analog VLSI
by
Seth Bridges
,
Jeremy Holleman
,
Ania Mitros
,
Chris Diorio
BibTeX
@MISC{Bridges_arandom,
author = {Seth Bridges and Jeremy Holleman and Ania Mitros and Chris Diorio},
title = {A Random Projection Imager for Visual Pattern Classification in Analog VLSI},
year = {}
}
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Abstract
Abstract — In this paper, we present a novel CMOS imager architecture that implements the random projection dimensionality reduction algorithm in the focal plane. We employ analog signal processing techniques to achieve low-power operation and our imager can readily integrate with known low-power VLSI classifiers. We fabricated a 20x20 pixel prototype of our 4.2mm 2 imager in 0.35µm CMOS that performs 1GOPS while consuming 1.25mW of power from a 5V supply. I.
Citations
| 193 | Parameterisation of a stochastic model for human face identification - Samaria, Harter - 1994 |
| 174 | Finding motifs using random projections - Buhler, Tompa - 2002 |
| 113 | Database-friendly random projections - Achlioptas - 2001 |
| 93 | Dimensionality reduction by random mapping: Fast similarity computation for clustering - Kaski - 1998 |
| 14 | Implementation of steerable spatiotemporal image filters on the focal plane - Gruev, Etienne-Cummings - 2002 |
| 10 | Adaptive CMOS: from Biological Inspiration to Systems-on-a-Chip - Diorio, Hsu, et al. - 2002 |
| 1 | Face Recognition Experiments with Random - Goel, Bebis, et al. - 2005 |
