Imperfectionsin datacanarise frommanysources.Thequality of the datais of primeconcernto anytask that involves dataanalysis.It is crucialthat wehavea goodunderstanding of dataimper...
In this paper a novel class of filters designed for the removal of impulsive noise in color images is presented. The proposed filter family is based on the kernel function which ...
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
Content-based audio classification techniques have focused on classifying events that are both semantically and perceptually distinct (such as speech, music, environmental sounds...
Abstract. This paper presents a general technique for optimally transforming any dynamic data structure D that operates on atomic and indivisible keys by constant-time comparisons,...