Optimized Kernel Entropy Components

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Kernel Principal Components Are Maximum Entropy Projections

Principal Component Analysis (PCA) is a very well known statistical tool. Kernel PCA is a nonlinear extension to PCA based on the kernel paradigm. In this paper we characterize the projections found by Kernel PCA from a information theoretic perspective. We prove that Kernel PCA provides optimum entropy projections in the input space when the Gaussian kernel is used for the mapping and a sample...

متن کامل

Entropy-Optimized Texture Models

In order to robustly match a statistical model of shape and appearance (e.g. AAM) to an unseen image, it is crucial to employ a robust model fittness measure. Dense sampling of texture over the region covered by the shape of interest makes comparison of model and image in principle robust. However, when merely texture differences are taken into account, problems with low contrast regions, fuzzy...

متن کامل

Optimized Kernel Implementation of Mansos

Operating system support for Wireless sensor networks (WSN) plays a major role in building scalable distributed applications that are efficient and reliable. Over the years, we have seen a variety of Operating systems emerging in the sensor net community to facilitate developing WSN applications. The design of operating system for WSN is a challenging task. In the proposed model optimized kerne...

متن کامل

Entropy of Overcomplete Kernel Dictionaries

In signal analysis and synthesis, linear approximation theory considers a linear decomposition of any given signal in a set of atoms, collected into a so-called dictionary. Relevant sparse representations are obtained by relaxing the orthogonality condition of the atoms, yielding overcomplete dictionaries with an extended number of atoms. More generally than the linear decomposition, overcomple...

متن کامل

Kernel Offloading with Optimized Remote Accesses

The use of hardware accelerators, e.g., with GPGPUs or customized circuits using FPGAs, are particularly interesting for accelerating dataand compute-intensive applications. However, to get high performance when ofoading computation kernels to such an acceleration platform, it is mandatory to restructure the application code and to generate adequate communication mechanisms to the external memo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Transactions on Neural Networks and Learning Systems

سال: 2017

ISSN: 2162-237X,2162-2388

DOI: 10.1109/tnnls.2016.2530403