Information & computer science publications

We propose a simple yet effective multi-feature fusion approach based on regression models for logo retrieval.

This paper presents a novel approach to recovering estimates of 3D structure and motion of a dynamic scene from a sequence of binocular stereo images.

(Previously) we showed that embedding the knowledge representation and question-answering abilities in an electronic textbook helped to engage student interest and improve learning. A natural question that arises from this…

This paper investigates unusually deep and sudden electron density depletions (troughs) observed in the Poker Flat (Alaska) Incoherent Scatter Radar data in middle summer of 2007 and 2008.

Amateur radio reporting networks, such as the Reverse Beacon Network (RBN), PSKReporter, and the Weak Signal Propagation Network, are powerful tools for remote sensing the ionosphere.

In this paper we present the theory of a new distributed computing model for such systems as a first step toward a model-based design methodology for FCPS.

The notion of recognition of a language by a finite semigroup can be generalized to recognition by finite groupoids, i.e. sets equipped with a binary operation ‘⋅’ which is not…

We consider the problem of designing multi-tenant public infrastructure clouds resistant to cross-VM attacks without relying on single-tenancy or on assumptions about the cloud's servers.

As part of this special issue on control systems for the energy sector, guest editors Sean Peisert and Jonathan Margulies put together a roundtable discussion so readers can learn about…

We describe our approach for inconsistency monitoring in a large biology KB.

We demonstrate how simple and common failures in a network application may lead to loss of the control layer, and in effect, loss of network control. To address these concerns…

In this paper, we propose an entity centric region of interest detection and visual-semantic pooling scheme for complex event detection in YouTube-like videos.