Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...
Sudheendra Vijayanarasimhan (University of Texas a...
Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...
Travis J. Desell, David P. Anderson, Malik Magdon-...
We propose a novel system for associating multi-target tracks across multiple non-overlapping cameras by an on-line learned discriminative appearance affinity model. Collecting rel...
Benchmarking file and storage systems on large filesystem images is important, but difficult and often infeasible. Typically, running benchmarks on such large disk setups is a ...
Nitin Agrawal, Leo Arulraj, Andrea C. Arpaci-Dusse...
Image-based object modeling has emerged as an important computer vision application. Typically, the process starts with the acquisition of the image views of an object. These view...