【摘 要】
:
In recent years,geometric data is gaining increasing interest both in the academia and industry.In this talk,I will use the problem of manifold corresponden
【机 构】
:
Univ.of Lugano(USI)/Intel
论文部分内容阅读
In recent years,geometric data is gaining increasing interest both in the academia and industry.In this talk,I will use the problem of manifold correspondence(a fundamental problem with a wide range of applications in geometric processing,graphics,vision,and learning)as a showcase for signal processing(sparse coding,joint diagonalization,matrix completion)applied to geometric problems.I will show applications to 3D shape correspondence,multi-view clustering,and image labeling.
其他文献
It was discovered by Hashin that by coating inclusions we can make structures which does not perturbed the field outside the structure.Such structures are c
This paper investigates the stability in distribution of stochastic delay recurrent neural networks with Markovian switching.Using Lyapunov function and sto
The importance of optics and is summarized in the 2013 US National Academy of Sciences report "Optics and Photonics: Essential Technology for Our Nation".En
Development of the efficient adjoint generation of a higher-order ice sheet model using Algorithmic Differentiation(AD)methods is presented.Recent innovatio
Correctly representing grounding line dynamics is of fundamental importance in modeling marine ice sheets.We have developed a groundingline discretization b
The main components of an ice sheet model are the equations for:(1)the momentum balance(typically Stokes equations or their approximations)and(2)the ice thi
Many ice-sheets contain ice that is at the melting temperature and contains pore water.We examine a model to determine the heat/water content of such ice,an
We present a continuum perspective on several nonlinear data analysis methods,with a special focus on Eigenmaps and Diffusion Maps.We derive bounds on the c
This talk will survey some recent theoretical results involving accurate signal tracking with noise-free(degenerate)dynamics in high-dimensions(infinite,in
We introduce a suite of forecasting methods which improve traditional analog forecasting by combining ideas from state-space reconstruction in dynamical sys