Videogames represent what may be the current apotheosis, and certainly most widely available implementation, of high-level human–computer interaction. As such, they must be viewed as a paradigmatic emblem of the new media. This article presents findings from two longitudinal studies that highlight the analytical and methodological weaknesses of the (sparse) extant scholarly studies of the mediu...

Images of natural scenes contain a rich variety of visual patterns. To learn and recognize these patterns from natural images, it is necessary to construct statistical models for these patterns. In this review article we describe three statistical principles for modeling image patterns: the sparse coding principle, the minimax entropy principle, and the meaningful alignment principle. We explai...

We present a sketch-based approach to find matching source images for seamless image composition, by leveraging a large amount of image corpus collected from the Internet. Given a target image where the user draws a rough sketch to indicate the desired object fill-in, our system automatically searches a large image database, and returns a sparse set of matching images. These matching images con...

Due to increasing complexity of hardware and software systems , connguration management has been receiving more and more attention in nearly all engineering domains (e.g. electrical, mechanical, and software engineering). This observation has driven us to develop a con-guration management model (called CoMa) for managing systems of engineering design documents. The CoMa model integrates composi...

ABSTRACT The edaphic community comprises several organisms that perform ecological functions in the environment, such as litter fragmentation, nutrient cycling, and modifications of soil structure, addition to acting food chain regulators. Thus, objective this study was evaluate composition fauna physical chemical attributes different physiognomies Cerrado Parque Estadual do Mirador (PEM). carr...

During the last decades, self-organizing maps were proven to be useful tools for exploring data. While the original algorithm was designed for numerical vectors, the data became more and more complex, being frequently too rich to be described by a fixed set of numerical attributes. Several extensions of the original SOM were proposed in the literature for handling kernel or dissimilarity data. ...

Sparsity-inducing norm has been a powerful tool for learning robust models with limited data in high dimensional space. By imposing such norms as constraints or regularizers in an optimization setting, one could bias the model towards learning sparse solutions, which in many case have been proven to be more statistically efficient [Don06]. Typical sparsityinducing norms include `1 norm [Tib96] ...

Decision trees effectively represent the sparse, high dimensional and noisy nature of chemical data from experiments. Having learned a function from this data, we may want to thereafter optimize the function, e.g., picking the best chemical process catalyst. In this way, we may repurpose legacy predictive models. This work studies a large-scale, industrially-relevant mixed-integer quadratic opt...

BACKGROUND Nasal septal cartilage is well established as an autograft material. Tissue engineering methods are now being developed to synthesize cartilage constructs with the properties of this type of cartilage. However, important baseline data on the composition of native septal cartilage is sparse. OBJECTIVES To characterize quantitatively the major biochemical constituents of native adult...