3256 search results - page 175 / 652 » Learning Linear Transformations |
139
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JMLR
2008
15 years 2 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
125
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INTERSPEECH
2010
14 years 9 months ago
2010
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...
119
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ESORICS
2009
Springer
16 years 3 months ago
2009
Springer
Abstract. Diagnostic and classification algorithms play an important role in data analysis, with applications in areas such as health care, fault diagnostics, or benchmarking. Bran...
105
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ICDM
2009
IEEE
15 years 9 months ago
2009
IEEE
Abstract—Linear discriminant analysis (LDA) is a wellknown dimension reduction approach, which projects highdimensional data into a low-dimensional space with the best separation...
101
Voted
AIRS
2008
Springer
15 years 8 months ago
2008
Springer
We present a novel approach that transforms the weighting task to a typical coarse-grained classification problem, aiming to assign appropriate weights for candidate expansion term...