Compressive Sensing (CS) uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. The Hough t...
Ali Cafer Gurbuz, James H. McClellan, Justin K. Ro...
Positron Emission Tomography (PET) is an established functional imaging modality but its practical deployment is hampered by motion artefacts. This paper proposes a method for corr...
Adrian James Chung, Paolo G. Camici, Guang-Zhong Y...
Abstract— This paper introduces a transformational design method which can be used to map code written in a high level source language, like C, to a coarse grain reconfigurable ...
We present a general method to improve computation of answer sets by analyzing structural properties of normal logic programs. Therefore we use labeled directed graphs associated t...
We present an unsupervised algorithm for aligning a pair of shapes in the presence of significant articulated motion and missing data, while assuming no knowledge of a template, u...