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» Infinite Ensemble Learning with Support Vector Machines
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ICPR
2008
IEEE
16 years 5 months ago
SVMs, Gaussian mixtures, and their generative/discriminative fusion
We present a new technique that employs support vector machines and Gaussian mixture densities to create a generative/discriminative joint classifier. In the past, several approac...
Georg Heigold, Hermann Ney, Thomas Deselaers
ISBI
2009
IEEE
15 years 11 months ago
Probabilistic Branching Node Detection Using Hybrid Local Features
Probabilistic branching node inference is an important step for analyzing branching patterns involved in many anatomic structures. We propose combining machine learning techniques...
Haibin Ling, Michael Barnathan, Vasileios Megalooi...
IJCNN
2006
IEEE
15 years 10 months ago
P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data
— The joint analysis of genetic and brain imaging data is the key to understand the genetic underpinnings of brain dysfunctions in several psychiatric diseases known to have a st...
Johannes Mohr, Imke Puis, Jana Wrase, Sepp Hochrei...
ICADL
2005
Springer
112views Education» more  ICADL 2005»
15 years 10 months ago
A Method for Creating a High Quality Collection of Researchers' Homepages from the Web
This paper proposes a method for creating a high quality collection of researchers’ homepages. The proposed method consists of three phases: rough filtering of the possible web p...
Yuxin Wang, Keizo Oyama
CARS
2004
15 years 5 months ago
Learning-based pulmonary nodule detection from multislice CT data
An automatic computer-aided detection system is developed for detecting pulmonary nodules from high resolution CT data. The system is based on the concept of machine learning. A ro...
Xiaoguang Lu, Guo-Qing Wei, Jian Zhong Qian, Anil ...