Previous Multiple Kernel Learning approaches (MKL) employ different kernels by their linear combination. Though some improvements have been achieved over methods using single kerne...
Abstract. In this paper we present a newly designed annotation and collaboration component, which has been prototypically implemented on top of an ERP (Enterprise Resource Planning...
Multi-video summarization is a great theoretical and technical challenge due to the wider diversity of topics in multi-video than singlevideo as well as the multi-modality nature o...
Jian Shao, Dongming Jiang, Mengru Wang, Hong Chen,...
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
We consider the problem of quantizing data generated from disparate sources, e.g. subjects performing actions with different styles, movies with particular genre bias, various con...
Ekaterina Taralova, Fernando DelaTorre, Martial He...