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» Regularization on Discrete Spaces
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109
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ADCM
2010
59views more  ADCM 2010»
15 years 3 months ago
Sampling inequalities for infinitely smooth functions, with applications to interpolation and machine learning
Sampling inequalities give a precise formulation of the fact that a differentiable function cannot attain large values, if its derivatives are bounded and if it is small on a suff...
Christian Rieger, Barbara Zwicknagl
147
Voted
ICML
2010
IEEE
15 years 2 months ago
Heterogeneous Continuous Dynamic Bayesian Networks with Flexible Structure and Inter-Time Segment Information Sharing
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
Frank Dondelinger, Sophie Lebre, Dirk Husmeier
114
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EGH
2009
Springer
15 years 1 months ago
Fast minimum spanning tree for large graphs on the GPU
Graphics Processor Units are used for many general purpose processing due to high compute power available on them. Regular, data-parallel algorithms map well to the SIMD architect...
Vibhav Vineet, Pawan Harish, Suryakant Patidar, P....
136
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JMIV
2010
107views more  JMIV 2010»
14 years 10 months ago
Block Based Deconvolution Algorithm Using Spline Wavelet Packets
This paper proposes robust algorithms to deconvolve discrete noised signals and images. The solutions are derived as linear combinations of spline wavelet packets that minimize so...
Amir Averbuch, Valery A. Zheludev, Pekka Neittaanm...
124
Voted
ICDM
2003
IEEE
135views Data Mining» more  ICDM 2003»
15 years 9 months ago
An Algorithm for the Exact Computation of the Centroid of Higher Dimensional Polyhedra and its Application to Kernel Machines
The Support Vector Machine (SVM) solution corresponds to the centre of the largest sphere inscribed in version space. Alternative approaches like Bayesian Point Machines (BPM) and...
Frédéric Maire