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» Learning Gaussian processes from multiple tasks
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129
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ICML
2006
IEEE
16 years 4 months ago
Local distance preservation in the GP-LVM through back constraints
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
Joaquin Quiñonero Candela, Neil D. Lawrence
127
Voted
MLMI
2005
Springer
15 years 9 months ago
Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding
Abstract. This paper presents a novel approach to the problem of estimating and tracking 3D locations of multiple targets in a scene using measurements gathered from multiple calib...
Cristian Canton-Ferrer, Josep R. Casas, A. Murat T...
DAGM
2010
Springer
15 years 4 months ago
On-Line Multi-view Forests for Tracking
Abstract. A successful approach to tracking is to on-line learn discriminative classifiers for the target objects. Although these trackingby-detection approaches are usually fast a...
Christian Leistner, Martin Godec, Amir Saffari, Ho...
126
Voted
BMCBI
2006
93views more  BMCBI 2006»
15 years 3 months ago
A summarization approach for Affymetrix GeneChip data using a reference training set from a large, biologically diverse database
Background: Many of the most popular pre-processing methods for Affymetrix expression arrays, such as RMA, gcRMA, and PLIER, simultaneously analyze data across a set of predetermi...
Simon Katz, Rafael A. Irizarry, Xue Lin, Mark Trip...
130
Voted
AGENTS
1997
Springer
15 years 7 months ago
TAIPE: Tactical Assistants for Interaction Planning and Execution
Downsizing the number of operators controlling complex systems can increase the decision-making demands on remaining operators, particularly in crisis situations. An answer to thi...
Edmund H. Durfee, Marcus J. Huber, Michael Kurnow,...