Expectation Conditional Maximization-Based Deformable Shape Registration

This paper addresses the issue of matching statistical and non-rigid shapes, and introduces an Expectation Conditional Maximization-based deformable shape registration (ECM-DSR) algorithm. Similar to previous works, we cast the statistical and non-rigid shape registration problem into a missing data framework and handle the unknown correspondences with Gaussian Mixture Models (GMM). The registration problem is then solved by fitting the GMM centroids to the data. But unlike previous works where equal isotropic covariances are used, our new algorithm uses heteroscedastic covariances whose values are iteratively estimated from the data. A previously introduced virtual observation concept is adopted here to simplify the estimation of the registration parameters. Based on this concept, we derive closed-form solutions to estimate parameters for statistical or non-rigid shape registrations in each iteration. Our experiments conducted on synthesized and real data demonstrate that the ECM-DSR algorithm has various advantages over existing algorithms.

Unconscious word stem completion priming in a mirror-masking paradigm

The aim of this study was to investigate unconscious priming by the use of a spatial mirror-masking paradigm. Words and nonwords with no under-length letters are mirrored at their horizontal axis. The results are figures of geometric-like forms that contain letters in their upper part. In the three experiments reported in this study, a priming procedure used such mirrored words and nonwords as primes. Participants were ignorant of the nature of the construction of the stimuli. Perceptual reports of the participants revealed that they did not realize that words were hidden in the primes. Nevertheless, they showed priming in all three experiments. Priming effects were replicated with prime–target SOAs of between 1 and 3 s. Functional dissociations were found between ignorant and informed participants. Informed groups showed perceptual and semantic priming, while ignorant groups showed only perceptual priming.

Veil: Mirror of Identity

The Islamic headscarf has become the subject of heated legal and political debate. France and Germany have legislated against it, and even the UK, long a champion of multiculturalism, has recently restricted the veil proper. Ever since home-grown Islamic terrorism struck Europe, these debates have become even more prominent, impassioned and wide-ranging, with vital global importance. In this concise and beautifully written introduction to the politics of the veil in modern societies, Christian Joppke examines why a piece of clothing could have led to such controversy. He dissects the multiple meanings of the Islamic headscarf, and explores its links with the global rise of Islam, Muslim integration, and the retreat from multiculturalism. He argues that the headscarf functions as a mirror of identity, but one in which national and liberal identities overlap, exposing the paradox that while it may be an affront to liberal values, its suppression is equally illiberal.