Image retrieval has been widely used in many fields of science and engineering. The semantic concept of user interest is obtained by a learning process. Traditional techniques oft...
Training a good text detector requires a large amount of labeled data, which can be very expensive to obtain. Cotraining has been shown to be a powerful semi-supervised learning t...
: 1 Invaluable feedback from HIICS referees is gratefully acknowledged. Mobile data services integrate handheld and Internet technologies to create new value propositions (Keen and...
Graphic designers and other visual problem solving experts now routinely use computer-based imageediting tools in their work. Recently, attempts have been made to apply learning a...
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...