Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...
Ultrasound (US) is a medical imaging modality which is extremely difficult to learn as it is user-dependent, has low image quality and many artifacts that depend on the viewing d...
Tobias Blum, Sandro Michael Heining, Oliver Kutter...
A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select...
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...