Constitutional Contortion? Making Unfettered War Powers Compatible with Limited Government. Book Review Of: The Powers of War and Peace: The Constitution and Foreign Affairs After 9/11. by John Yoo

Book review: The Powers of War and Peace: The Constitution and Foreign Affairs After 9/11. By John Yoo. University of Chicago Press. 2005. xii + 366 pp. Reviewed by: Gordon Silverstei

The Sometimes Unitary Executive: Presidential Practice Throughout History. Book Review Of: The Unitary Executive: Presidential Power from Washington to Bush. Steven G. Calabresi and Christopher S. Yoo

Book review: The Unitary Executive: Presidential Power from Washington to Bush. Steven G. Calabresi and Christopher S. Yoo. New Haven: Yale University Press. 2008. Pp. xiii +544. Reviewed by: Harold J. Kren

The Sometimes Unitary Executive: Presidential Practice Throughout History. Book Review Of: The Unitary Executive: Presidential Power from Washington to Bush. Steven G. Calabresi and Christopher S. Yoo

Book review: The Unitary Executive: Presidential Power from Washington to Bush. Steven G. Calabresi and Christopher S. Yoo. New Haven: Yale University Press. 2008. Pp. xiii +544. Reviewed by: Harold J. Kren

Using the HEGY Procedure When Not All Roots Are Present

Les fòrmules matemàtiques del resum estan representades en LaTeX.Empirical studies have shown little evidence to support the presence of all unit roots present in the Δ4 filter in quarterly seasonal time series. This paper analyses the performance of the Hylleberg, Engle, Granger and Yoo (1990) (HEGY) procedure when the roots under the null are not all present

Superpixel-based Semantic Segmentation Trained by Statistical Process Control

Semantic segmentation, like other fields of computer vision, has seen a remarkable performance advance by the use of deep convolution neural networks. However, considering that neighboring pixels are heavily dependent on each other, both learning and testing of these methods have a lot of redundant operations. To resolve this problem, the proposed network is trained and tested with only 0.37% of total pixels by superpixel-based sampling and largely reduced the complexity of upsampling calculation. The hypercolumn feature maps are constructed by pyramid module in combination with the convolution layers of the base network. Since the proposed method uses a very small number of sampled pixels, the end-to-end learning of the entire network is difficult with a common learning rate for all the layers. In order to resolve this problem, the learning rate after sampling is controlled by statistical process control (SPC) of gradients in each layer. The proposed method performs better than or equal to the conventional methods that use much more samples on Pascal Context, SUN-RGBD dataset.Comment: Accepted in British Machine Vision Conference (BMVC), 201

NanoFS: a hardware-oriented file system

NanoFS is a novel file system for embedded systems and storage-class memories (like flash) and is specially designed to be directly implemented in hardware. NanoFS is based on an original internal layout intended to achieve an optimal hardware implementation of the file system’s file lookup and data fetch operations. File system spe-cification on a sample reader module completely implemented in a pro-grammable device is introduced