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» Online Passive-Aggressive Algorithms on a Budget
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ACCV
2009
Springer
14 years 2 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
13 years 7 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»
13 years 7 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
13 years 6 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
14 years 8 months 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