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BIRTHDAY
1997
Springer
15 years 8 months ago
The Job Assignment Problem: A Study in Parallel and Distributed Machine Learning
This article describes a parallel and distributed machine learning approach to a basic variant of the job assignment problem. The approach is in the line of the multiagent learning...
Gerhard Weiß
CVPR
2007
IEEE
16 years 6 months ago
Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy
In this paper we present a method for learning a curve model for detection and segmentation by closely integrating a hierarchical curve representation using generative and discrim...
Adrian Barbu, Vassilis Athitsos, Bogdan Georgescu,...
ICCV
2007
IEEE
16 years 6 months ago
Spectral Regression for Efficient Regularized Subspace Learning
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
Deng Cai, Xiaofei He, Jiawei Han
ICML
2009
IEEE
16 years 5 months ago
Semi-supervised learning using label mean
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou
COLT
2008
Springer
15 years 6 months ago
Learning Random Monotone DNF Under the Uniform Distribution
We show that randomly generated monotone c log(n)-DNF formula can be learned exactly in probabilistic polynomial time. Our notion of randomly generated is with respect to a unifor...
Linda Sellie