Probabilistic techniques are widely used in the analysis of algorithms to estimate the computational complexity of algorithms or a computational problem. Traditionally, such analys...
We present a new method for feature preserving mesh simplification based on feature sensitive (FS) metric. Previous quadric error based approach is extended to a high-dimensional F...
In this paper, we examine an emerging variation of the classification problem, which is known as the inverse classification problem. In this problem, we determine the features to b...
Abstract The significant overhead related to frequent location updates from moving objects often results in poor performance. As most of the location updates do not affect the quer...
Abstract We define a notion of context that represents invariant, stable-over-time behavior in an environment and we propose an algorithm for detecting context changes in a stream ...
With recent efforts to build foundational certified software systems, two different approaches have been proposed to certify thread context switching. One is to certify both thread...
Abstract Workflows are prevailing in scientific computation. Multicluster environments emerge and provide more resources, benefiting workflows but also challenging the traditional ...
In this paper we introduce an architecture for a multi-key pirate decoder which employs decryption keys from multiple traitors. The decoder has built-in monitoring and self protect...
Abstract This paper introduces a caching technique based on a volumetric representation that captures low-frequency indirect illumination. This structure is intended for efficient ...
Surface triangle meshes and volume data are two commonly used representations of digital geometry. Converting from triangle meshes to volume data is challenging, since triangle mes...