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  • Di Xu, Shanna Smith Jaggars
  • 2011
This report investigates enrollment patterns and academic outcomes in online, hybrid, and face-to-face courses among students who enrolled in Washington State community and technical colleges in the fall of 2004. Students were tracked for nearly five years, until the spring of 2009. Results were similar to those found in a parallel study in Virginia(More)
  • Di Xu, Madeline Joy Trimble, Thomas Bailey, Shanna Smith Jaggars, Clive Belfield, Judith Scott-Clayton +4 others
  • 2014
Hill for their valuable comments and suggestions about this research. We also thank both the Virginia Community College System and the North Carolina Community College System for providing high-quality data and expert guidance on the state contexts for this research. Abstract The annual number of certificates (non-degree awards that typically require less(More)
Shared-memory multiprocessors have dominated all platforms from high-end to desktop computers. On such platforms, it is well known that the interconnect between the processors and the main memory has become a major bottleneck. The bandwidth-aware job scheduling is an effective and relatively easy-to-implement way to relieve the bandwidth contention.(More)
  • Di Xu, Shanna Smith Jaggars
  • 2013
Using a dataset containing nearly 500,000 courses taken by over 40,000 community and technical college students in Washington State, this study examines how well students adapt to the online environment in terms of their ability to persist and earn strong grades in online courses relative to their ability to do so in face-to-face courses. While all types of(More)
Although 3D TVs have already been introduced to the consumer market, the availability of stereoscopic (3D) content remains a serious challenge. Another challenge is that while some manufacturers are introducing 3D cameras and Hollywood is using proprietary solutions, there are no guidelines for consistently capturing high quality stereoscopic content. In(More)
An optimization-based method is proposed for the design of high-performance separable wavelet filter banks for image coding. This method yields linear-phase perfect-reconstruction systems with high coding gain, good frequency selectivity, and certain prescribed vanishing-moment properties. Several filter banks designed with the proposed method are presented(More)
Two problems make Spoken Term Detection (STD) particularly challenging under low-resource conditions: the low quality of speech recognition hypotheses, and a high number of out-of-vocabulary (OOV) words. In this paper, we propose an intuitive way to handle OOV terms for STD on word-based Confusion Networks using phonetic similarities, and generalize it into(More)
Conventional images store a very limited dynamic range of brightness. The true luma in the bright area of such images is often lost due to clipping. When clipping changes the R, G, B color ratios of a pixel, color distortion also occurs. In this paper, we propose an algorithm to enhance both the luma and chroma of the clipped pixels. Our method is based on(More)
Competition for shared memory resources on multiprocessors is the most dominant cause for slowing down applications and makes their performance varies unpredictably. It exacerbates the need for Quality of Service (QoS) on such systems. In this paper, we propose a fair-progress process scheduling (FPS) policy to improve system fairness. Its strategy is to(More)