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» Adaptive Kernel Methods Using the Balancing Principle
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ICPR
2010
IEEE
14 years 1 months ago
Online Discriminative Kernel Density Estimation
—We propose a new method for online estimation of probabilistic discriminative models. The method is based on the recently proposed online Kernel Density Estimation (oKDE) framew...
Matej Kristan, Ales Leonardis
COLT
2004
Springer
14 years 1 months ago
A Statistical Mechanics Analysis of Gram Matrix Eigenvalue Spectra
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...
David C. Hoyle, Magnus Rattray
NIPS
1990
13 years 8 months ago
Planning with an Adaptive World Model
We present a new connectionist planning method TML90 . By interaction with an unknown environment, a world model is progressively constructed using gradient descent. For deriving ...
Sebastian Thrun, Knut Möller, Alexander Linde...
ICCV
2011
IEEE
12 years 7 months ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr
SOSP
1993
ACM
13 years 9 months ago
Improving IPC by Kernel Design
Inter-process communication (ipc) has to be fast and e ective, otherwise programmers will not use remote procedure calls(RPC),multithreadingand multitasking adequately. Thus ipc p...
Jochen Liedtke