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» Improved independent component regression modeling
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INTERSPEECH
2010
13 years 3 months ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
13 years 6 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
TIP
2002
179views more  TIP 2002»
13 years 8 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
GI
2005
Springer
14 years 1 months ago
Automated Quality Assurance for UML Models
Abstract: Model based development, like proposed by the OMG’s Model Driven Arre (MDA), aims to raise the level of abstraction from working on the code to working with models. For...
Tilman Seifert, Florian Jug, Günther Rackl
SAC
2009
ACM
14 years 3 months ago
Component-based metrics applying the strength of dependency between classes
Component-Based Development(CBD) is an emerging discipline for promoting practical reuse of software. In CBD, by building new software with independently developed components, we ...
Misook Choi, Injoo J. Kim, Jiman Hong, Jungyeop Ki...