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IDA
2007
Springer
14 years 9 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
COMPGEOM
2009
ACM
15 years 4 months ago
Randomly removing g handles at once
It was shown in [11] that any orientable graph of genus g can be probabilistically embedded into a graph of genus g − 1 with constant distortion. Removing handles one by one giv...
Glencora Borradaile, James R. Lee, Anastasios Sidi...
SEMCO
2009
IEEE
15 years 4 months ago
LAIR: A Language for Automated Semantics-Aware Text Sanitization Based on Frame Semantics
—We present LAIR: A domain-specific language that enables users to specify actions to be taken upon meeting specific semantic frames in a text, in particular to rephrase and re...
Steffen Hedegaard, Søren Houen, Jakob Grue ...
IDA
2009
Springer
15 years 4 months ago
Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings
In this study, we present a method to remove ocular artifacts from electroencephalographic (EEG) recordings. This method is based on the detection of the EOG activation periods fro...
Cédric Gouy-Pailler, Reza Sameni, Marco Con...
CORR
2012
Springer
210views Education» more  CORR 2012»
13 years 5 months ago
Topological phase transition in a network model with preferential attachment and node removal
Preferential attachment is a popular model of growing networks. We consider a generalized model with random node removal, and a combination of preferential and random attachment. U...
Heiko Bauke, Cristopher Moore, Jean-Baptiste Rouqu...