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ICASSP
2010
IEEE
14 years 12 months ago
Fixed-budget kernel recursive least-squares
We present a kernel-based recursive least-squares (KRLS) algorithm on a fixed memory budget, capable of recursively learning a nonlinear mapping and tracking changes over time. I...
Steven Van Vaerenbergh, Ignacio Santamaría,...
ICML
2006
IEEE
16 years 15 days ago
Learning low-rank kernel matrices
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
Brian Kulis, Inderjit S. Dhillon, Máty&aacu...
SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
15 years 9 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic
ICCV
2011
IEEE
13 years 11 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