Gaussian Process Manifold Kernel Dimensionality Reduction (GPMKDR) [1]

Constructing optimal regressors is an important task in computer vision. Problems such as tracking, 3D human and general object pose estimation, image and signal denoising, illumination direction estimation are but some of
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Classifying Brain Signals


The brain mechanisms underlying the ability of humans to process faces have been studied extensively in the last two decades. Brain imaging techniques, particularly fMRI (functional Magnetic Resonance Imaging) that possesses high spatial resolution but limited temporal resolution, are advancing … Read the rest

Protein Classification

Protein Classification and Functional Prediction 

Proteins are linear seqeuences of amino acids that perform essential functions in organisms. To determine the function of a protein, expensive experimental procedures are required. With better sequencing techniques, it becomes evident that computational
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Kernel Barcoding

Kernel Methods for Sequence Classification

DNA Barcoding

Genomic approaches to classification of organisms exploit diversity among DNA sequences to identify organisms. The task of identification is to assign any unidentified organism to the taxonomic group at the target level: class, Read the rest

Spatial Kernels

Fast Semi-Supervised Homology Prediction using Sparse Spatial Sample Kernel


Establishing structural and/or functional relationship between sequences, for instance, to infer the structural class of an unannotated protein, is a key task in a biological sequence analysis. Recent methods such Read the rest