The traditional approach for solving large dynamical systems is time consuming. Waveform method, an iterative technique for solving systems of differential equations, can be used to reduce the processing time. Waveform ...

Finally, we show how to adapt recent advances in statistically-unbiased least-squares methods to our image-based rendering approach. The point-based PIV involves equations with bilinear or higher-order data dependencies ...

Deep neural networks are gaining increasing popularity for the classic text classification task, due to their strong expressive power and less requirement for feature engineering. Despite such attractiveness, neural text ...

Well-centered meshes (meshes composed of well-centered simplices) have the advantage of having nice orthogonal dual meshes (the dual Voronoi diagram), which is useful for certain numerical algorithms that require or prefer ...

Distributed systems are getting bigger and more complex. While the complexity of large-scale distributed systems has been acknowledged to be an important challenge, there has not been much work in defining or measuring ...

Adaptation of models to a new domain is important for many natural language tasks. Because without adaptation, NLP tools trained on news domain achieve sub par results on other domains. In many practical scenarios, the ...

During the spring of 2011 pressure was asserted by the department on the enrollment in CS424 Real-Time Systems due to its low enrollment. The result of that pressure was a curriculum update, removal of the CS431 Embedded ...

A cycle-stealing DMA I/O task is allowed to proceed only when the CPU does not need the system bus. As a result, the execution time of a cycle-stealing DMA I/O task is affected by a set of CPU tasks which execute concurrently ...

Instructors are increasingly using algorithmic tools for team formation, yet little is known about how these tools are applied or how students and instructors perceive their use. We studied a representative team formation ...