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» Implementation of the MLP Kernel
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ISCAS
2005
IEEE
103views Hardware» more  ISCAS 2005»
14 years 1 months ago
Low-complexity adaptive algorithms for pre-distortion of power amplifiers
—Adaptive systems have been broadly used in a wide range of applications and can be categorized into linear or nonlinear adaptive systems. Unfortunately, hardware complexity for ...
Kuan-Hung Chen, Tzi-Dar Chiueh
CIARP
2005
Springer
14 years 1 months ago
A Robust Free Size OCR for Omni-Font Persian/Arabic Printed Document Using Combined MLP/SVM
Optical character recognition of cursive scripts present a number of challenging problems in both segmentation and recognition processes and this attracts many researches in the fi...
Hamed Pirsiavash, Ramin Mehran, Farbod Razzazi
AUSAI
2004
Springer
14 years 26 days ago
Using Machine Learning Techniques to Combine Forecasting Methods
We present here an original work that uses machine learning techniques to combine time series forecasts. In this proposal, a machine learning technique uses features of the series ...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
RTSS
1999
IEEE
13 years 11 months ago
Implementing a General Real-Time Scheduling Framework in the RED-Linux Real-Time Kernel
Many scheduling paradigms have been studied for realtime applications and real-time communication network. Among them, the most commonly used paradigms include priority-driven, ti...
Yu-Chung Wang, Kwei-Jay Lin
GPB
2010
231views Solid Modeling» more  GPB 2010»
13 years 4 months ago
Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
Ferran Reverter, Esteban Vegas, Pedro Sánch...