Reproducing Kernel Hilbert Spaces in Learning Theory: the Sphere and the Hypercube

اسناد مشابه

• Weighted Fourier–Laplace transforms in reproducing kernel Hilbert spaces on the sphere

  مقاله‌ی دسترسی آزاد۲۰۱۴Journal of Mathematical Analysis and ApplicationsT.Jordão, V.A.Menegatto

• Semi-Supervised Learning in Reproducing Kernel Hilbert Spaces Using Local Invariances

  سند علمی۲۰۰۶Wee Sun Lee, Xinhua Zhang, Yee Whye Teh

  We propose a framework for semi-supervised learning in reproducing kernel Hilbert spaces using local invariances that explicitly characterize the behavior of the target function around both labeled and unlabeled data instances. Such invariances include: invariance to small change

• On Several Properties of the Reproducing Kernel Hilbert Spaces Induced by Gaussian Kernels in Connection with Learning Theory

  سند علمی۲۰۰۷HA QUANG MINH

  We give several properties of the reproducing kernel Hilbert spaces induced by the Gaussian kernel and their implications for recent results in the complexity of the regularized least square algorithm in learning theory.

• NONLINEAR SIGNAL PROCESSING BASED ON REPRODUCING KERNEL HILBERT SPACE By JIANWU XU A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY

  سند علمی۲۰۰۷Jianwu Xu, Jose Principe, Seungju Han, Weifeng Liu

  of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy NONLINEAR SIGNAL PROCESSING BASED ON REPRODUCING KERNEL HILBERT SPACE By Jianwu Xu December 2007 Chair: Jose C. Principe

• An Introduction to the Theory of Reproducing Kernel Hilbert Spaces

  سند علمی۲۰۰۶VERN I. PAULSEN, V. I. PAULSEN

  These notes give an introduction to the theory of reproducing kernel Hilbert spaces and their multipliers. We begin with the material that is contained in Aronszajn’s classic paper on the subject. We take a somewhat algebraic view of some of his results and discuss them in the co

• Kernel Selection using Multiple Kernel Learning and Domain Adaptation in Reproducing Kernel Hilbert Space, for Face Recognition under Surveillance Scenario

  سند علمی۲۰۱۶CoRRSamik Banerjee, Sukhendu Das

  Face Recognition (FR) has been the interest to several researchers over the past few decades due to its passive nature of biometric authentication. Despite high accuracy achieved by face recognition algorithms under controlled conditions, achieving the same performance for face i