Preservation of local similarity structure is a key challenge in deep clustering. Many recent clustering methods therefore use autoencoders to help guide the model's neural network towards an embedding which more reflective input space geometry. However, work has shown that autoencoder-based models can suffer from objective function mismatch (OFM). In order improve preservation structure, while...

Infertility is a very disastrous side effect in young females, especially in traditional male-dominated societies. The aim of this talk is to discuss the possible ways for fertility preservation in both man and woman. Another aspect is to how to predict women at threat of premature ovarian failure. It will also illustrate the association of cytochrome P450 (CYP2C19) polymorphism with ovarian to...

This article investigates the interaction between different techniques for depth compression and view synthesis rendering with multiview video plus scene depth data. Two different approaches for depth coding are compared, namely H.264/MVC, using temporal and inter-view reference images for efficient prediction, and the novel platelet-based coding algorithm, characterized by being adapted to the...

Most mesh processing filters (including remeshing, simplification, and subdivision) affect vertices of the mesh. Vertices coordinates are modified, new vertices are added and some original ones are removed, with the result that the shape of the original surface is changed. While a great deal of research is concentrated on preservation of surface shape during some mesh processing, there is no ge...

A Bayesian-Kullback learning scheme, called Ying-Yang Machine, is proposed based on the two complement but equivalent Bayesian representations for joint density and their Kullback divergence. Not only the scheme unifies existing major supervised and unsupervised learnings, including the classical maximum likelihood or least square learning, the maximum information preservation, the EM & em algo...

The effective reuse of freeform features represented by NURBS is still an open issue. In this paper, a novel approach to the reuse of freeform features with NURBS representation is proposed. Firstly, the conditions for preserving differential properties of reused freeform features are derived, and a reuse-oriented representation of freeform features is put forward. Based on them, a reuse algori...

We here investigate polarimetric behavior of thick samples of porcine liver, Intralipid, and microsphere-based tissue phantoms whose absorption and scattering properties are matched. Using polarized light we measured reflection mode Mueller matrices and derived linear/circular/total depolarization rates, based on polar decomposition. According to our results, phantoms exhibit greater depolariza...

Solids of revolution (vases, bottles, bells, . . .), shortly SORs, are very common objects in man-made environments. We present a complete framework for 3D database population from a single image of a scene including a SOR. The system supports human intervention with automated procedures to obtain good estimates of the interest entities needed for 3D reconstruction. The system exploits the spec...

In this letter we propose to denoise digital color images via an improved geometric diffusion scheme. By introducing edges detected from all three color channels into the diffusion the proposed scheme avoids color smearing artifacts. Vector valued diffusion is used to control the smoothing and the geometry of color images are taken into consideration. Color edge strength function computed from ...