Spinal cord analysis is an important problem relating to the study of various neurological diseases. We present a novel approach to spinal cord segmentation in magnetic resonance i...
Diffusion tensor and functional MRI data provide insight into function and structure of the human brain. However, connectivity analysis between functional areas is still a challeng...
Dorit Merhof, Mirco Richter, Frank Enders, Peter H...
Document clustering techniques mostly rely on single term analysis of the document data set, such as the Vector Space Model. To better capture the structure of documents, the unde...
This paper presents an innovative model of a program’s internal behavior over a set of test inputs, called the probabilistic program dependence graph (PPDG), that facilitates pr...
Objective video quality metrics reported in the literature have so far been focused on TV signals with large frame sizes, full TV frame rates, and high compressed bit rates. The a...
Ee Ping Ong, Mei Hwan Loke, Weisi Lin, Zhongkang L...