A new form of denotational mathematics known as Visual Semantic Algebra (VSA) is presented for abstract visual object and architecture manipulations. A set of cognitive theories for pattern recognition is explored such as cognitive principles of visual perception and basic mechanisms of object and pattern recognition. The cognitive process of pattern recognition is rigorously modeled using VSA ...

This paper addresses issues in visual language theory with the help of logic formalisms that were developed for reasoning tasks by the artificial intelligence and spatial databases community, especially for spatial and diagrammatical reasoning. We describe an approach based on three formal components. Topology is used to define basic geometric objects. Theory about spatial relations from the do...

, 201 (1950); 112 Science et al. Wilson P. Tanner, Jr., Intelligence between Visual Fusion of Intermittent Light and A Preliminary Investigation of the Relationship www.sciencemag.org (this information is current as of December 28, 2006 ): The following resources related to this article are available online at http://www.sciencemag.org version of this article at: including high-resolution figur...

This paper describes progress toward developing visual intelligence algorithms (VI) that can produce humanlike text descriptions (captions) from video inputs. Video frames are assumed to be generated according to an underlying “script’ that specifies a camera model and the content and action in a scene. VI is formulated as the problem of recovering the script (or relevant portions of the script...

IMPORTANCE Breastfeeding may benefit child cognitive development, but few studies have quantified breastfeeding duration or exclusivity, nor has any study to date examined the role of maternal diet during lactation on child cognition. OBJECTIVES To examine relationships of breastfeeding duration and exclusivity with child cognition at ages 3 and 7 years and to evaluate the extent to which mat...

VALCRI provides a challenging and overwhelming high-dimensional dataset that comprises of hundreds of extracted semantic features in addition to the usual spatiotemporal information or metadata. To overcome the curse of dimensionality and to generate low-dimensional representations of these semantic features we apply interactive high-dimensional data analysis techniques with the goal of obtaini...

One of the most significant current discussions has led to the hypothesis that domain-specific training programs alone are not enough to improve reading achievement or working memory abilities. Incremental or Entity personal conceptions of intelligence may be assumed to be an important prognostic factor to overcome domain-specific deficits. Specifically, incremental students tend to be more ori...

An Intelligent Inspection Engine (IIE) for classiication of non-regular shaped objects from images is described and evaluated using real-world data from a waste package sorting application. The entire system is self-organizing. Principal component analysis and additional a priori knowledge on color properties are used for feature extraction. As classiiers growing neural networks provide robustn...