In this paper, we propose a controllable embedding method for highand low-dimensional geometry processing through sparse matrix eigenanalysis. Our approach is equally suitable to perform non-linear dimensionality reduction on big data, or to offer non-linear shape editing of 3D meshes and pointsets. At the core of our approach is the construction of a multi-Laplacian quadratic form that is asse...

With that paper a new concept for learning from examples called Cyclical Local Structural Risk Minimization (CLSRM) minimizing a global risk by cyclical minimization of residual local risks is introduced. The idea is to increase the capacity of the learning machine cyclically only in those regions where the eeective loss is high and to do a stepwise local risk minimization, restricted to those ...

implementing information technology projects requires a calculated process to prevent failure. at the same time application of information technology in organizations faces various potential risks. exploring information technology environment in organizations reveals the potential risks and provides a structure for comprehensive risk management. there are various methods available for risk mana...

The problem of minimizing the rank of a symmetric positive semidefinite matrix subject to constraints can be cast equivalently as a semidefinite program with complementarity constraints (SDCMPCC). The formulation requires two positive semidefinite matrices to be complementary. We investigate calmness of locally optimal solutions to the SDCMPCC formulation and hence show that any locally optimal...

We consider a flexible greedy approach to wavelength assignment in an optical network with the goal of minimizing the cost incurred by wavelength conversions and fiber deployment. The greedy approach processes demands one by one in a certain order and makes a locally optimal choice for each demand. We address several heuristics for creating desirable demand orderings, including a random orderin...

Despite that basal cell carcinoma (BCC) is curative in the vast majority of cases, some patients are at high risk of recurrence and, in a few patients, lesions can progress to a point unsuitable for local therapy and prognosis is quite poor. The aim of the present work is to review clinical and pathologic characteristics as well as classical and new treatment options for high-risk, metastatic a...