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» An Application Framework for Collaborative Learning
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IJCAI
2003
15 years 4 months ago
Inductive Learning in Less Than One Sequential Data Scan
Most recent research of scalable inductive learning on very large dataset, decision tree construction in particular, focuses on eliminating memory constraints and reducing the num...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo
115
Voted
CVPR
2007
IEEE
16 years 5 months ago
Regularized Mixed Dimensionality and Density Learning in Computer Vision
A framework for the regularized estimation of nonuniform dimensionality and density in high dimensional data is introduced in this work. This leads to learning stratifications, th...
Gloria Haro, Gregory Randall, Guillermo Sapiro
ICCV
2009
IEEE
16 years 8 months ago
Constrained Clustering by Spectral Kernel Learning
Clustering performance can often be greatly improved by leveraging side information. In this paper, we consider constrained clustering with pairwise constraints, which specify s...
Zhenguo Li, Jianzhuang Liu
122
Voted
MICCAI
2008
Springer
16 years 4 months ago
Customized Design of Hearing Aids Using Statistical Shape Learning
3D shape modeling is a crucial component of rapid prototyping systems that customize shapes of implants and prosthetic devices to a patient's anatomy. In this paper, we presen...
Gozde B. Unal, Delphine Nain, Gregory G. Slabaug...
SIGADA
2007
Springer
15 years 9 months ago
AADL modeling and analysis of hierarchical schedulers
A system based on a hierarchical scheduler is a system in which the processor is shared between several collaborative schedulers. Such schedulers exist since 1960 and they are bec...
Frank Singhoff, Alain Plantec