Tsuyoshi Kato

TL;DR: This paper proposes a novel MTL algorithm that makes use of a task network, which describes the relation structure among tasks and control the relatedness of the tasks locally, so all pairs of related tasks are guaranteed to have similar solutions.

TL;DR: In this article, a new descriptor referred to as Segmental HOG was developed to perform a comprehensive detection of hundreds of glomeruli in images of whole kidney sections, which possesses flexible blocks that can be adaptively fitted to input images in order to acquire robustness for the detection of the glomerulus.

TL;DR: An extended version of the off-subspace noise-reduction (de-noising) method to incorporate heterogeneous network data such as sequence similarity or protein-protein interactions into a single framework to improve prediction of human cell cancer dru responses from microarray data is found.

TL;DR: A new descriptor referred to as Segmental HOG was developed to perform a comprehensive detection of hundreds of glomeruli in images of whole kidney sections and it is expected to be useful in pathological evaluation.