We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
Abstract. We prove various results on effective numberings and Friedberg numberings of families related to algorithmic randomness. The family of all Martin-L¨of random left-compu...
The random oracle model is an idealized theoretical model that has been successfully used for designing many cryptographic algorithms and protocols. Unfortunately, a series of res...
The development of new Field-Programmed, MaskProgrammed and Laser-Programmed Gate Array architectures is hampered by the lack of realistic test circuits that exercise both the arc...
Michael D. Hutton, Jerry P. Grossman, Jonathan Ros...
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...