This article presents a conceptual analysis of collaboration scripts used in face-to-face and computer-mediated collaborative learning. Collaboration scripts are scaffolds that aim to improve collaboration through structuring the interactive processes between two or more learning partners. Collaboration scripts consist of at least five components: (a) learning objectives, (b) type of activities...

Gabor features encoded by local binary pattern, could achieve state-of-the-art FR results in large-scale face databases.However, the time and space complexityof Gabor transformation are too high for many practicalFR applications. We propose a new and efficient local feature extraction scheme, namely MONOGENIC BINARY CODING (MBC), for face representation and recognition. The original signal is d...

In this paper, we propose an ICA(Indepdendent Component Analysis) based face recognition algorithm, which is robust to illumination and pose variation. Generally, it is well known that the first few eigenfaces represent illumination variation rather than identity. Most PCA(Principal Component Analysis)-based methods have overcome illumination variation by discarding the projection to a few lead...

iated with each of the eigenvector. This paper he position, PCA Algorithm Principal Component Analysis (PCA) dimensionality reduction technique in which multidimensional data is reduced by extracting the desired number of principal components. Without the need of intense effort PCA provides us with an outline that describes how to reduce a complex data set to a lower dimension to reveal certain...

In this paper, we propose an Independent Component Analysis (ICA) based face recognition algorithm, which is robust to illumination and pose variation. Generally, it is well known that the 5rst few eigenfaces represent illumination variation rather than identity. Most Principal Component Analysis (PCA) based methods have overcome illumination variation by discarding the projection to a few lead...

Several sequential matching composite face paradigms are used to assess “holistic processing” of faces. In the Selective Attention paradigm, participants decide whether one face part (e.g., top) is the same as a previously seen face part. This judgment is affected by whether the irrelevant part is also the same or different. This failure of selective attention implies holistic processing. Howev...

The processing of upright, inverted and contrast-reversed faces was investigated using MEG. Peak and global field power analyses revealed that the M100, M170 and M220 components were delayed for inverted and contrast-reversed compared to normal upright faces but no amplitude modulations were found. Source analyses using an event-related SAM beamformer technique revealed bilateral occipital sour...