Abstract—Images are prone to noise induction where noise can be introduced by the medium of transfer or during image acquisition. Different filtering procedures are used for noise reduction to improve the visual quality and understandability of images. In this paper we have undertaken four types of noises and applied on a particular image. The filtering of these noises is done using four differ...

For several major applications of data analysis, objects are often not represented as feature vectors in a vector space, but rather by a matrix gathering pairwise proximities. Such pairwise data often violates metricity and, therefore, cannot be naturally embedded in a vector space. Concerning the problem of unsupervised structure detection or clustering, in this paper, a new embedding method f...

Most real data sets contain atypical observations, often referred to as outliers. Their presence may have a negative impact in data modeling using machine learning. This is particularly the case in data density estimation approaches. Manifold learning techniques provide low-dimensional data representations, often oriented towards visualization. The visualization provided by density estimation m...