Historical Chinese character recognition is very important to larger scale historical document digitalization, but is a very challenging problem due to lack of labeled training samples. This paper proposes a novel nonlinear transfer learning method, namely Gaussian Process Style Transfer Mapping (GP-STM). The GP-STM extends traditional linear Style Transfer Mapping (STM) by using Gaussian proce...

Kernel-based data mining algorithms, such as Support Vector Machines, project data into high-dimensional feature spaces, wherein linear decision surfaces correspond to non-linear decision surfaces in the original feature space. Choosing a kernel amounts to choosing a high-dimensional feature space, and is thus a crucial step in the data mining process. Despite this fact, and as a result of the ...

Although there is a large diversity in the literature related to kernel methods, there are only a few works which do not use kernels based on Radial Basis Functions (RBF) for regression problems. The reason for that is that they present very good generalization capabilities and smooth interpolation. This paper studies an initial framework to create specific-to-problem kernels for application to...

International Symposium on Digital Industrial Radiology and Computed Tomography Ghent, Belgium June 22-25, 2015 SKS deconvolution method corrects scatter per projection by convoluting the measured signal with the pencil beam kernels using equation (1), simulated by varying thickness of the slabs of same material as the object in the CIVA [2] RT module developed for NDT simulations by CEA. The w...

This study examined if pre-germination altered the water content and water activity, contents of phytate, total phenolic, (±)-catechin, quercetin and total antioxidant capacity of almond  (Prunus dulcis)kernel. Raw almond kernels were submerged for 15 hours in water, 0.02 mol dm-3 phosphate buffer solution (pH 5.0) and 0.02 mol dm-3 phosphate buffer solution (pH 7.0) at 25 and 40ºC, respectivel...

Burt introduced 1983 'equivalent weighting function': \Iterative pyramid generation is equivalent to convolving the image g 0 with a set of 'equivalent weighting functions' h l :" g l = h l g 0 = h g l?1 ; l > 1. It allowed him to study the eeects of iterated reduction (e.g. the low-pass character of Gaussian pyramids) using the single parameter h l without giving up the eecient iterative compu...

In the framework of online object retrieval with learning, we address the problem of graph matching using kernel functions. An image is represented by a graph of regions where the edges represent the spatial relationships. Kernels on graphs are built from kernel on walks in the graph. This paper firstly proposes new kernels on graphs and on walks, which are very efficient for graphs of regions....