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TEC
2008
115views more  TEC 2008»
14 years 10 months ago
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
ICIP
2000
IEEE
15 years 11 months ago
Unsupervised Color Texture Feature Extraction and Selection for Soccer Image Segmentation
In this paper, we describe a new approach for color texture featureextraction and selection. We definecolortexturefeatures as texture features which are computed by taking into ac...
Nicolas Vandenbroucke, Ludovic Macaire, Jack-G&eac...
CLEAR
2007
Springer
179views Biometrics» more  CLEAR 2007»
15 years 4 months ago
HMM-Based Acoustic Event Detection with AdaBoost Feature Selection
Given the spectral difference between speech and acoustic events, we propose using Kullback-Leibler distance to quantify the discriminant capability of all speech feature componen...
Xi Zhou, Xiaodan Zhuang, Ming Liu, Hao Tang, Mark ...
ICCAD
1994
IEEE
104views Hardware» more  ICCAD 1994»
15 years 2 months ago
Module selection and data format conversion for cost-optimal DSP synthesis
In high level synthesis each node of a synchronous dataflow graph (DFG) is scheduled to a specific time and allocated to a processor. In this paper we present new integer linear p...
Kazuhito Ito, Lori E. Lucke, Keshab K. Parhi
CDC
2008
IEEE
114views Control Systems» more  CDC 2008»
15 years 5 hour ago
Dynamic test selection for reconfigurable diagnosis
Abstract-- Detecting and isolating multiple faults is a computationally intense task which typically consists of computing a set of tests, and then computing the diagnoses based on...
Mattias Krysander, Fredrik Heintz, Jacob Roll, Eri...