Efficiently Learning Single-Arm Fling Motions to Smooth Garments

Aerodynamic forces and flows of the full and partial clap-fling motions in insects

Most of the previous studies on Weis-Fogh clap-fling mechanism have focused on the vortex structures and velocity fields. Detailed pressure distribution results are provided for the first time in this study to reveal the differences between the full and the partial clap-fling motions. The two motions are studied by numerically solving the Navier-Stokes equations in moving overset grids. The Rey...

How can we develop therapies for glioblastoma more efficiently? Randomized versus single-arm studies.

Smooth pursuit eye movements in response to predictable target motions.

The human smooth pursuit eye movement system has a latency of about 150 msec. However, this study shows that humans can learn to perform zero-latency tracking of targets that move with continuous velocity and amplitude-limited acceleration. Superposition of eye velocity and target velocity records, for our unique target waveforms, demonstrated that the subject was using the correct waveform and...

Title of dissertation : LEARNING TO EFFICIENTLY RANK

Title of dissertation: LEARNING TO EFFICIENTLY RANK Lidan Wang, Doctor of Philosophy, 2012 Dissertation directed by: Associate Professor Jimmy Lin (primary advisor) Professor Douglas Oard (co-advisor) Department of Computer Science and College of Information Studies Web search engines allow users to find information on almost any topic imaginable. To be successful, a search engine must return r...

Learning to Search Efficiently in High Dimensions

High dimensional similarity search in large scale databases becomes an important challenge due to the advent of Internet. For such applications, specialized data structures are required to achieve computational efficiency. Traditional approaches relied on algorithmic constructions that are often data independent (such as Locality Sensitive Hashing) or weakly dependent (such as kd-trees, k-means...