The parametric maximum flow problem is an extension of the classical maximum flow problem in which the capacities of certain arcs are not fixed but are functions of a single par...
Maxim A. Babenko, Jonathan Derryberry, Andrew V. G...
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
— In this paper, we experimentally implement and validate distributed consensus algorithms on a mobile actuator and sensor network platform under directed, possibly switching int...
Wei Ren, Haiyang Chao, William Bourgeous, Nathan S...
By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...