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» On the Complexity of Function Learning
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CORR
2010
Springer
144views Education» more  CORR 2010»
15 years 4 months ago
Efficient Minimization of Decomposable Submodular Functions
Many combinatorial problems arising in machine learning can be reduced to the problem of minimizing a submodular function. Submodular functions are a natural discrete analog of co...
Peter Stobbe, Andreas Krause
SMI
2005
IEEE
15 years 9 months ago
Volumetric Data Analysis using Morse-Smale Complexes
The 3D Morse-Smale complex is a fundamental topological construct that partitions the domain of a real-valued function into regions having uniform gradient flow behavior. In this...
Vijay Natarajan, Valerio Pascucci
APBC
2004
138views Bioinformatics» more  APBC 2004»
15 years 5 months ago
Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data
Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments. The resulti...
See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong
ICASSP
2011
IEEE
14 years 7 months ago
Increasing discriminative capability on MAP-based mapping function estimation for acoustic model adaptation
In this study, we propose increasing discriminative power on the maximum a posteriori (MAP)-based mapping function estimation for acoustic model adaptation. Based on the effective...
Yu Tsao, Ryosuke Isotani, Hisashi Kawai, Satoshi N...
ICASSP
2010
IEEE
15 years 2 months ago
Flexible complex ICA of fMRI data
Data-driven analysis methods, in particular independent component analysis (ICA) has proven quite useful for the analysis of functional magnetic imaging (fMRI) data. In addition, ...
Hualiang Li, Tülay Adali, Nicolle M. Correa, ...