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» Learning from Multiple Annotators with Gaussian Processes
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147
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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...
179
Voted
ATAL
2003
Springer
15 years 9 months ago
Natural methods for robot task learning: instructive demonstrations, generalization and practice
Among humans, teaching various tasks is a complex process which relies on multiple means for interaction and learning, both on the part of the teacher and of the learner. Used tog...
Monica N. Nicolescu, Maja J. Mataric
141
Voted
EELC
2006
121views Languages» more  EELC 2006»
15 years 7 months ago
Symbol Grounding Through Cumulative Learning
Abstract. We suggest that the primary motivation for an agent to construct a symbol-meaning mapping is to solve a task. The meaning space of an agent should be derived from the tas...
Samarth Swarup, Kiran Lakkaraju, Sylvian R. Ray, L...
152
Voted
ICPR
2008
IEEE
16 years 4 months ago
A discrete-time parallel update algorithm for distributed learning
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Christian Bauckhage, Tansu Alpcan
136
Voted
BMCBI
2006
111views more  BMCBI 2006»
15 years 3 months ago
High throughput profile-profile based fold recognition for the entire human proteome
Background: In order to maintain the most comprehensive structural annotation databases we must carry out regular updates for each proteome using the latest profile-profile fold r...
Liam J. McGuffin, Richard T. Smith, Kevin Bryson, ...