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PURPOSE Diffusion tensor imaging is widely used for studying neural fiber trajectories in white matter and for quantifying changes in tissue using diffusion properties at each voxel in the brain. To better model the nature of crossing fibers within complex architectures, rather than using a simplified tensor model that assumes only a single fiber direction(More)
For the difficulties of the high dimensions and the complex environment in the video surveillance, a face detection method based on Locality Preserving Projections (LPP) incorporated with Adaboost is proposed. The LPP based features are extracted to reveal the local manifold structure of the faces using linear method. Then, the weak classifiers are(More)
The virtual electronic whiteboard is one of the main tools of the CSCL. This paper realizes an intelligent whiteboard system based on sketch recognition. The system is build on multitier distributed architecture, which can support the users to communicate with each other by sketching and chatting on pen based HCI. It can recognize the gestures to help users(More)
The discovery of route patterns from trajectory data generated by moving objects is an essential problem for location-aware computing. However, the high degree of uncertainty of personal trajectory data significantly disturbs the existing route pattern mining approaches, and results in finding only short and incomplete patterns with high computational(More)
Learning Chinese calligraphy is a hard task, especially for beginners. Traditional methods of learning calligraphy usually bases on teaching face-to-face or teaching hand-by-hand. In order to let users learn how calligraphic character is written step-by-step and enjoy the art of calligraphy, we present an approach to animate its writing process by(More)
Panoramic stitching of multiple high-resolution remote sensing images still faces the accuracy and the speed difficulties. This paper proposed an automatic panoramic stitching algorithm to register multiple omni-directional remote sensing images, which utilizes Location Sensitive Hashing (LSH) to accelerate the rough feature matching, and combines the(More)
Comparative Effectiveness Research (CER) was launched to promote health reform in the US. The Comparative Effectiveness Research could help clinical research and health-care decision making to reduce the healthcare cost. This paper summarizes and analyzes the progress of CER by focusing on its technical significance, methods, advantages and disadvantages. A(More)