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» A learning machine for resource-limited adaptive hardware
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ISCAS
2007
IEEE
149views Hardware» more  ISCAS 2007»
15 years 6 months ago
Low-Power Circuits for Brain-Machine Interfaces
—This paper presents work on ultra-low-power circuits for brain–machine interfaces with applications for paralysis prosthetics, stroke, Parkinson’s disease, epilepsy, prosthe...
Rahul Sarpeshkar, Woradorn Wattanapanitch, Benjami...
JSA
2006
97views more  JSA 2006»
14 years 11 months ago
Dynamic feature selection for hardware prediction
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...
FGR
2004
IEEE
167views Biometrics» more  FGR 2004»
15 years 3 months ago
Adaptive Learning of an Accurate Skin-Color Model
Due to variations of lighting conditions, camera hardware settings, and the range of skin coloration among human beings, a pre-defined skin-color model cannot accurately capture t...
Qiang Zhu, Kwang-Ting Cheng, Ching-Tung Wu, Yi-Leh...
ICALT
2006
IEEE
15 years 5 months ago
Domain Ontology for Personalized E-Learning in Educational Systems
This paper introduces a domain ontology to describe learning material that compose a course, capable of providing adaptive e-learning environments and reusable educational resourc...
José Manuel Gascueña, Antonio Fern&a...
ECOOP
2008
Springer
15 years 1 months ago
Online Phase-Adaptive Data Layout Selection
Good data layouts improve cache and TLB performance of object-oriented software, but unfortunately, selecting an optimal data layout a priori is NP-hard. This paper introduces layo...
Chengliang Zhang, Martin Hirzel