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DSMML
2004
Springer
14 years 1 months ago
Extensions of the Informative Vector Machine
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
Neil D. Lawrence, John C. Platt, Michael I. Jordan
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 1 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
ICRA
2000
IEEE
129views Robotics» more  ICRA 2000»
14 years 27 days ago
Data Association for Mobile Robot Navigation: A Graph Theoretic Approach
Data association is the process of relating features observed in the environment to features viewed previously or to features in a map. Correct feature association is essential fo...
Tim Bailey, Eduardo Mario Nebot, Julio Rosenblatt,...
PAMI
2008
196views more  PAMI 2008»
13 years 8 months ago
Distance Learning for Similarity Estimation
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance function...
Jie Yu, Jaume Amores, Nicu Sebe, Petia Radeva, Qi ...
BMVC
2010
13 years 6 months ago
Vision-Based Behavior Prediction in Urban Traffic Environments by Scene Categorization
We propose a method for vision-based scene understanding in urban traffic environments that predicts the appropriate behavior of a human driver in a given visual scene. The method...
Martin Heracles, Fernando Martinelli, Jannik Frits...