We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
In the Internet today, users and applications must often make decisions based on the performance they expect to receive from other Internet hosts. For example, users can often vie...
Multicast-based inference has been proposed as a method of estimating average loss rates of internal network links, using end-to-end loss measurements of probes sent over a multic...
Abstract—Detecting the occurrence and location of performance anomalies (e.g., high jitter or loss events) is critical to ensuring the effective operation of network infrastructu...
Paul Barford, Nick G. Duffield, Amos Ron, Joel Som...
We propose an autonomous system for personalized production of basketball videos from multi-sensored data under limited display resolution. Especially, we propose criteria for opt...