The Internet pervades many aspects of our lives and is becoming indispensable to critical functions in areas such as commerce, government, production and general information disse...
Abstract. The paper proposes a learning approach to support medical researchers in the context of in-vivo cancer imaging, and specifically in the analysis of Dynamic Contrast-Enhan...
Alessandro Daducci, Umberto Castellani, Marco Cris...
In this paper, we propose a new technique for hardware accelerated multi-resolution geometry synthesis. The level of detail for a given viewpoint is created on-the-fly, allowing f...
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...