Multispectral printer characterization requires an effective model to map printer input digital counts into reflectance spectra and vice versa. This paper presents a novel strateg...
This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...
This paper presents a formal framework for designing search algorithms which can identify target images by the spatial distribution of color, edge and texture attributes. The fram...
We describe the lockingarchitecture of a new operating system, HURRICANE, designed for large scale shared-memory multiprocessors. Many papers already describe kernel lockingtechni...
Ronald C. Unrau, Orran Krieger, Benjamin Gamsa, Mi...
This paper presents an efficient and homogeneous paradigm for automatic acquisition and recognition of nonparametric shapes. Acquisition time varies from linear to cubic in the nu...