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MICCAI
2004
Springer
14 years 8 months ago
Solving Incrementally the Fitting and Detection Problems in fMRI Time Series
We tackle the problem of real-time statistical analysis of functional magnetic resonance imaging (fMRI) data. In a recent paper, we proposed an incremental algorithm based on the e...
Alexis Roche, Philippe Pinel, Stanislas Dehaene, J...
JMLR
2012
11 years 10 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
MCS
2010
Springer
14 years 17 days ago
Online Non-stationary Boosting
Abstract. Oza’s Online Boosting algorithm provides a version of AdaBoost which can be trained in an online way for stationary problems. One perspective is that this enables the p...
Adam Pocock, Paraskevas Yiapanis, Jeremy Singer, M...
VLDB
2004
ACM
100views Database» more  VLDB 2004»
14 years 24 days ago
Online Balancing of Range-Partitioned Data with Applications to Peer-to-Peer Systems
We consider the problem of horizontally partitioning a dynamic relation across a large number of disks/nodes by the use of range partitioning. Such partitioning is often desirable...
Prasanna Ganesan, Mayank Bawa, Hector Garcia-Molin...
DEDS
2008
87views more  DEDS 2008»
13 years 7 months ago
On-Line Monitoring of Large Petri Net Models Under Partial Observation
This paper deals with the on-line monitoring of large systems modeled as Petri Nets under partial observation. The plant observation is given by a subset of transitions whose occu...
George Jiroveanu, René K. Boel, Behzad Bord...