186 search results - page 25 / 38 » Sparse Kernel Regressors |
113
Voted
NIPS
1998
15 years 4 months ago
1998
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
157
Voted
CVPR
2010
IEEE
15 years 3 months ago
2010
IEEE
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
114
Voted
GLOBECOM
2008
IEEE
15 years 10 months ago
2008
IEEE
Abstract—Over the past few years, wireless sensor networks received tremendous attention for monitoring physical phenomena, such as the temperature field in a given region. Appl...
159
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DAGM
2008
Springer
15 years 5 months ago
2008
Springer
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
150
Voted
ICMLA
2009
15 years 1 months ago
2009
This paper introduces a new algorithm, namely the EquiCorrelation Network (ECON), to perform supervised classification, and regression. ECON is a kernelized LARS-like algorithm, b...