Learn More
Standard sparse pseudo-input approximations to the Gaussian process (GP) cannot handle complex functions well. Sparse spectrum alternatives attempt to answer this but are known to over-fit. We suggest the use of variational inference for the sparse spectrum approximation to avoid both issues. We model the covariance function with a finite Fourier series(More)
This paper investigates image segmentation methods for the automated identification of Squamous epithelium from cervical virtual slides. Such images can be up to 120Ktimes80K pixels in size. Through investigation a multiresolution segmentation strategy was developed to give the best segmentation results in addition to saving processing time and memory.(More)
Cervical virtual slides are ultra-large, can have size up to 120K x 80K pixels. This paper introduces an image segmentation method for the automated identification of Squamous epithelium from such virtual slides. In order to produce the best segmentation results, in addition to saving processing time and memory, a multiresolution segmentation strategy was(More)