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CVPR
2009
IEEE
15 years 3 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
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...
CEC
2010
IEEE
13 years 10 months ago
An analysis of massively distributed evolutionary algorithms
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-...
ECCV
2010
Springer
13 years 10 months ago
Inter-Camera Association of Multi-Target Tracks by On-line Learned Appearance Affinity Models
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...
FAST
2011
13 years 8 days ago
Emulating Goliath Storage Systems with David
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...
CVPR
2007
IEEE
14 years 10 months ago
Seamless Mosaicing of Image-Based Texture Maps
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...
Victor S. Lempitsky, Denis V. Ivanov