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» Online Passive-Aggressive Algorithms on a Budget
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ACCV
2009
Springer
15 years 6 months ago
An Online Framework for Learning Novel Concepts over Multiple Cues
Abstract. We propose an online learning algorithm to tackle the problem of learning under limited computational resources in a teacher-student scenario, over multiple visual cues. ...
Luo Jie, Francesco Orabona, Barbara Caputo
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,...
PVLDB
2008
174views more  PVLDB 2008»
14 years 11 months ago
Relaxation in text search using taxonomies
In this paper we propose a novel document retrieval model in which text queries are augmented with multi-dimensional taxonomy restrictions. These restrictions may be relaxed at a ...
Marcus Fontoura, Vanja Josifovski, Ravi Kumar, Chr...
INFOCOM
2010
IEEE
14 years 10 months ago
Dynamic Power Allocation Under Arbitrary Varying Channels - The Multi-User Case
Abstract—We consider the power control problem in a timeslotted wireless channel, shared by a finite number of mobiles that transmit to a common base station. The channel betwee...
Niv Buchbinder, Liane Lewin-Eytan, Ishai Menache, ...
DCC
2009
IEEE
16 years 9 days ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang