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» Learning to Construct Fast Signal Processing Implementations
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AVSS
2007
IEEE
15 years 8 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen
QCQC
1998
Springer
173views Communications» more  QCQC 1998»
15 years 6 months ago
Quantum Wavelet Transforms: Fast Algorithms and Complete Circuits
The quantum Fourier transform (QFT), a quantum analog of the classical Fourier transform, has been shown to be a powerful tool in developing quantum algorithms. However, in classi...
Amir Fijany, Colin P. Williams
FPL
2003
Springer
161views Hardware» more  FPL 2003»
15 years 7 months ago
Laura: Leiden Architecture Research and Exploration Tool
At Leiden Embedded Research Center (LERC), we are building a tool chain called Compaan/Laura that allows us to map fast and efficiently applications written in Matlab onto recon...
Claudiu Zissulescu, Todor Stefanov, Bart Kienhuis,...
ICALT
2009
IEEE
15 years 5 months ago
Supporting Teacher Intervention in Unpredictable Learning Environments
Modern teaching tools, such as educational robotics, require new learning environments. The teacher especially needs to be supported in novel ways. Conflative learning environment...
Ilkka Jormanainen, Antony Harfield, Erkki Sutinen
DAGM
2010
Springer
15 years 3 months ago
On-Line Multi-view Forests for Tracking
Abstract. A successful approach to tracking is to on-line learn discriminative classifiers for the target objects. Although these trackingby-detection approaches are usually fast a...
Christian Leistner, Martin Godec, Amir Saffari, Ho...