Current models of visual working memory (VWM) assume that comparing memory with the environment obligatorily involves a spatial comparison process. Can changing task demands determine whether a spatial or non-spatial comparison processes is employed? Study displays of three colored shapes were presented, followed by test displays of three coloured shapes. Participants decided whether a feature ...

In this paper, a new face descriptor called spatial feature interdependence matrix (SFIM) is proposed for addressing representation of human faces under variations of illumination and facial expression. Unlike traditional face descriptors which usually use a hierarchically organized or a sequentially concatenated structure to describe the spatial arrangement of features in different facial regi...

Saccades not only deliver the high-resolution retinal image requisite for visual perception, but processing stages associated with saccade target selection affect visual perception even before the eye movement starts. These presaccadic effects are thought to arise from two visual selection mechanisms: spatial selection that enhances processing of the saccade target location and feature-based se...

Top-k spatial preference queries rank objects based on the score of feature objects in their spatial neighborhood. Top-k preference queries are crucial for a wide range of location based services such as hotel browsing and apartment searching. In recent years, a lot of research has been conducted on processing of top-k spatial preference queries in Euclidean space. While few algorithms study to...

Given a collection of boolean spatial features, the co-location pattern discovery process nds the subsets of features frequently located together. For example, the analysis of an ecology dataset may reveal the frequent co-location of a re ignition source feature with a needle vegetation type feature and a drought feature. The spatial co-location rule problem is diierent from the association rul...

hyperspectral sensors provide a large number of spectral bands. this massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. therefore, reducing the dimensionality of hyperspectral images without losing important information is a very important issue for the remote sensing community. we propose to use overlap-based feature weigh...

We investigated the time course of feature-based attention and compared it to the time course of spatial attention in an experiment with identical stimuli and task. Observers detected a speed increment in a compound motion stimulus preceded by cues that indicated either the target location or direction. The cue-target stimulus-onset-asynchrony (SOA) was varied to assess the time course of the a...

Content-based image authentication typically assesses authenticity based on a distance measure between the image to be tested and its original. Commonly employed distance measures such as the Minkowski measures (including Hamming and Euclidean distances) may not be adequate for content-based image authentication since they do not exploit statistical and spatial properties in features. This pape...

A new feature extraction method for very non-normal data: analysis of multivariate species-size data from a tuna purse-seine fishery .. This report is organized into sections corresponding to the topics discussed at the workshop. Under each section, introductory text, taken from the background information provided to participants before the workshop, is given. Then abstracts for each presentati...