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» Differential testing: a new approach to change detection
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SBIA
2004
Springer
15 years 7 months ago
Learning with Drift Detection
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Pedro Medas, Gladys Castillo, Pe...
BMCBI
2010
87views more  BMCBI 2010»
15 years 1 months ago
Epigenetic domains found in mouse embryonic stem cells via a hidden Markov model
Background: Epigenetics is an important layer of transcriptional control necessary for cell-type specific gene regulation. Recent studies have shown significant epigenetic pattern...
Jessica L. Larson, Guo-Cheng Yuan
ECCV
2002
Springer
16 years 3 months ago
Phase-Based Local Features
Abstract. We introduce a new type of local feature basedon the phaseand amplitude responsesof complex-valuedsteerable filters. The designof this local feature is motivated by a des...
Gustavo Carneiro, Allan D. Jepson
ISBI
2008
IEEE
16 years 2 months ago
FMRI brain activity and underlying hemodynamics estimation in a new Bayesian framework
The emerging functional MRI (Magnetic Resonance Imaging), fMRI, imaging modality was developed to obtain non-invasive information regarding the neural processes behind pre-determi...
David M. Afonso, João M. Sanches, Martin H....
ICCD
2006
IEEE
127views Hardware» more  ICCD 2006»
15 years 10 months ago
Power Droop Testing
Circuit activity is a function of input patterns. When circuit activity changes abruptly, it can cause sudden drop or rise in power supply voltage. This change is known as power d...
Ilia Polian, Alejandro Czutro, Sandip Kundu, Bernd...