The purpose of the present study was to investigate several components of the Perfectionism Social Disconnection Model (PSDM) by assessing the relationships among perfectionism, insecure attachment, and social disconnection in adolescents. This study examined perfectionistic self-presentation, attachment style, and experience of disconnection from social environment in a sample of 178 adolescen...

The pseudospectrum descent method (PsDM) is proposed, a new parallel method for the computation of pseudospectra. The idea behind the method is to use points from an already existing pseudospectrum level curve oK to generate in parallel the points of a new level curve oKd such that d < . This process can be continued for several steps to approximate several pseudospectrum level curves lying ins...

A new approach, called Collective Shape Difference Classifier (CSDC), is proposed to improve the accuracy and computational efficiency of 3D face recognition. The CSDC learns the most discriminative local areas from the Pure Shape Difference Map (PSDM) and trains them as weak classifiers for assembling a collective strong classifier using the real-boosting approach. The PSDM is established betw...

Land multicomponent seismic has garnered significant attention and demonstrated substantial growth in the last five years. The bulk of this growth in multicomponent activity has been in western Canada. While multicomponent seismic has been around for many years, historical cost and quality concerns have limited its use as a routine exploration tool. The current resurgence of multicomponent seis...

The pseudospectrum descent method (PsDM) is proposed, a new parallel method for the computation of pseudospectra. The idea behind the method is to use points from an already existing pseudospectrum level curve oK to generate in parallel the points of a new level curve oKd such that d < . This process can be continued for several steps to approximate several pseudospectrum level curves lying ins...

Multidimensional regularization and interpolation methods are an essential component of seismic data processing. Fourier reconstruction algorithms efficient straightforward to implement. Minimum Weighted Norm Interpolation (MWNI), Anti-Leakage Transform (ALFT), Matching Pursuit (MPFI) examples classical reconstructions techniques for prestack data. MWNI estimates the coefficients that synthesiz...