A product model is a formal and structured definition of product information. The most common procedure for defining a product data model is to first describe the business and/...
We present a holistic statistical model for the automatic analysis of complex scenes. Here, holistic refers to an integrated approach that does not take local decisions about segme...
Daniel Keysers, Michael Motter, Thomas Deselaers, ...
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
In this paper, fundamental conditions which bound the network processing unit (NPU) worst-case performance are established. In particular, these conditions formalize and integrate...
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...