Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, S...
In this paper, we study the recognition of about 60 sulcal structures over a new T1 MRI database of 62 subjects. It continues our previous work [7] and more specifically extends th...
Although numerous methods to register brains of different individuals have been proposed, no work has been done, as far as we know, to evaluate and compare objectively the performa...
Pierre Hellier, Christian Barillot, Isabelle Corou...
Modern architectural trends in instruction-level parallelism (ILP) are to increase the computational power of microprocessors significantly. As a result, the demands on memory ha...
In most microphone array applications, it is essential to localize sources in a noisy, reverberant environment. It has been shown that computing the steered response power(SRP) is...