Development of high-performance novel low-dimensional structure antimonide infrared FPAs: challenges and solutions

Implementation Challenges and Solutions of Low-Power, High-Performance Memory Systems

Eecient Recovery of Low-dimensional Structure from High-dimensional Data

Many modeling tasks in computer vision. e.g. structure from motion, shape/reeectance from shading , lter synthesis have a low-dimensional intrinsic structure even though the dimension of the input data can be relatively large. We propose a simple but surprisingly eeective iterative randomized algorithm that drastically cuts down the time required for recovering the intrinsic structure. The comp...

Efficient Recovery of Low-Dimensional Structure from High-Dimensional Data

Many modeling tasks in computer vision. e.g. structure from motion, shape/re ectance from shading, lter synthesis have a low-dimensional intrinsic structure even though the dimension of the input data can be relatively large. We propose a simple but surprisingly e ective iterative randomized algorithm that drastically cuts down the time required for recovering the intrinsic structure. The compu...

Inference of Low-Dimensional Latent Structure in High-Dimensional Data

EE) Inference of Low-Dimensional Latent Structure in High-Dimensional Data

A Novel Very High Performance CMOS Current Mirror with extremely low input and ultra high output resistance

In this paper a novel very high performance current mirror is presented. It favorably benefits from such excellent parameters as: Ultra high output resistance (36.9GΩ), extremely low input resistance (0.0058Ω), low output (~0.18V) and low input voltage (~0.18V) operation, very low power consumption (20μW), very low offset current (1pA), ultra wide current dynamic range (150dB), and ultra high a...