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PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
16 years 1 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont
BMEI
2008
IEEE
16 years 1 months ago
Adaptive Gene Expression Programming Algorithm Based on Cloud Model
Standard Gene Expression Programming(GEP) works with fixed rate of mutation and crossover, ignoring the variation of the individual fitness, hence it works in the local optimum st...
Yue Jiang, Chang-jie Tang, Haichun Zheng, Chuan Li...
ICC
2007
IEEE
120views Communications» more  ICC 2007»
16 years 1 months ago
An Event-Detection Estimation Model for Hybrid Adaptive Routing in WSNs
— A fundamental goal of a wireless sensor network (WSN) is to collect and deliver data to external applications. Due to the strong constraints of these networks, routing algorith...
Carlos Mauricio S. Figueiredo, Eduardo Freire Naka...
ICB
2007
Springer
119views Biometrics» more  ICB 2007»
16 years 1 months ago
Nonlinear Iris Deformation Correction Based on Gaussian Model
Current iris recognition systems can achieve high level of success under restricted conditions, while they still face challenges of utilizing images with heavy deformation caused b...
Zhuoshi Wei, Tieniu Tan, Zhenan Sun
MICCAI
2007
Springer
16 years 1 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...