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103
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ML
2008
ACM
110views Machine Learning» more  ML 2008»
14 years 8 months ago
A theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum, Nathan Srebro
JCC
2010
95views more  JCC 2010»
14 years 8 months ago
Computational studies on electron and proton transfer in phenol-imidazole-base triads
: The electron and proton transfer in phenol-imidazole-base systems (base 5 NH2 2 or OH2 ) were investigated by density-functional theory calculations. In particular, the role of b...
Shihai Yan, Sunwoo Kang, Tomoyuki Hayashi, Shaul M...
91
Voted
PAMI
2010
222views more  PAMI 2010»
14 years 8 months ago
Minimal Surfaces Extend Shortest Path Segmentation Methods to 3D
—Shortest paths have been used to segment object boundaries with both continuous and discrete image models. Although these techniques are well defined in 2D, the character of the...
Leo Grady
JCNS
2011
87views more  JCNS 2011»
14 years 4 months ago
Information-geometric measure of 3-neuron firing patterns characterizes scale-dependence in cortical networks
To understand the functional connectivity of neural networks, it is important to develop simple and incisive descriptors of multineuronal firing patterns. Analysis at the pairwise...
Ifije E. Ohiorhenuan, Jonathan D. Victor
SIAMAM
2011
14 years 4 months ago
Wave Attenuation through Multiple Rows of Scatterers with Differing Periodicities
A solution method is proposed for calculating wave scattering by a multiple-row array in which the rows are permitted to have different periodicities. Each individual row contains ...
Luke G. Bennetts