We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert M...
Many software security solutions—including malware analyzers, information flow tracking systems, auditing utilities, and host-based intrusion detectors—rely on knowledge of s...
Abhinav Srivastava, Andrea Lanzi, Jonathon T. Giff...
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...