We introduce an online learning approach for multitarget tracking. Detection responses are gradually associated into tracklets in multiple levels to produce final tracks. Unlike ...
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
Introducing a new concept of (, )-fairness, which allows for a bounded fairness compromise, so that a source is allocated a rate neither less than 0 1, nor more than 1, times...
Moshe Zukerman, Musa Mammadov, Liansheng Tan, Irad...
The primary aim of most data mining algorithms is to facilitate the discovery of concise and interpretable information from large amounts of data. However, many of the current for...
An alphabetic binary tree formulation applies to problems in which an outcome needs to be determined via alphabetically ordered search prior to the termination of some window of o...