Collagen diseases are ofter dangerous and can be lethal. A severe complication common to those diseases of auto-immune system is called thrombosis. It occurs when coagulation of blood clogs blood vessels. Data relevant to the analysis of patients with collagen diseases have been donated to the PKDD Discovery Challenge in the hope that the discovered knowledge will illuminate the mechanisms resp...

In this paper, we propose a novel subspace learning framework for one-class classification. The proposed presents the problem in form of graph embedding. It includes previously techniques as its special cases and provides further insight on what these actually optimize. allows to incorporate other meaningful optimization goals via preserving criterion reveals spectral solution regression-based ...

With the development of vision and haptic sensor technologies, robots have become increasingly capable perceiving their external environments. Although machine haptics surpassed humans in some aspects perception, it is difficult for to describe objects from multiple viewpoints by using a combination visual modalities. In this paper, we use convolutional neural networks separately extract featur...

Battery research initiatives and giga-scale production generate an abundance of diverse data spanning myriad fields science engineering. Modern battery development is driven by the confluence traditional domains natural with emerging like artificial intelligence vast engineering logistical knowledge needed to sustain global reach Gigafactories. Despite unprecedented volume dedicated targeting a...

This paper proposes a novel method for solving oneclass classification problems. The proposed approach, namely Subspace Support Vector Data Description, maps the data to a subspace that is optimized for one-class classification. In that feature space, the optimal hypersphere enclosing the target class is then determined. The method iteratively optimizes the data mapping along with data descript...