Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
The need for low-power multimedia processing is integral to portable and embedded devices such as cell phones, wireless terminals, multimedia handhelds and PDAs. The multimedia pr...
Statistical estimation and approximate query processing have become increasingly prevalent applications for database systems. However, approximation is usually of little use witho...
— Wireless sensor network consisting of a large number of sensors is effective for gathering data in a variety of environments. Since the sensors operate on battery of limited po...
Jae Duck Yu, Kyung Tae Kim, Bo Yle Jung, Hee Yong ...