Spectral domain optical coherence tomography (SD-OCT) is an important tool for the diagnosis of various retinal diseases. The measurements available from SD-OCT volumes can be used...
Susanna Ricco, Mei Chen, Hiroshi Ishikawa 0002, Ga...
This paper describes a software toolkit for the interactive display and analysis of automatically extracted or manually derived annotation features of visual and audio data. It ha...
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
We present a probabilistic approach to shape matching which is invariant to rotation, translation and scaling. Shapes are represented by unlabeled point sets, so discontinuous bou...