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PRL
2006
129views more  PRL 2006»
15 years 4 months ago
Learning spatial relations in object recognition
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
Thang V. Pham, Arnold W. M. Smeulders
IJRR
2010
107views more  IJRR 2010»
15 years 2 months ago
Non-parametric Learning to Aid Path Planning over Slopes
— This paper addresses the problem of closing the loop from perception to action selection for unmanned ground vehicles, with a focus on navigating slopes. A new non-parametric l...
Sisir Karumanchi, Thomas Allen, Tim Bailey, Steve ...
ICML
2003
IEEE
16 years 5 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
WWW
2005
ACM
16 years 5 months ago
Towards autonomic web-sites based on learning automata
Autonomics or self-reorganization becomes pertinent for websites serving a large number of users with highly varying workloads. An important component of self-adaptation is to mod...
Pradeep S, Chitra Ramachandran, Srinath Srinivasa
FLAIRS
2006
15 years 5 months ago
Machine Learning for Imbalanced Datasets: Application in Medical Diagnostic
In this paper, we present a new rule induction algorithm for machine learning in medical diagnosis. Medical datasets, as many other real-world datasets, exhibit an imbalanced clas...
Luis Mena, Jesus A. Gonzalez