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131
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COLT
2008
Springer
15 years 5 months ago
Linear Algorithms for Online Multitask Classification
We design and analyze interacting online algorithms for multitask classification that perform better than independent learners whenever the tasks are related in a certain sense. W...
Giovanni Cavallanti, Nicolò Cesa-Bianchi, C...
139
Voted
RTAS
2010
IEEE
15 years 2 months ago
Reservation-Based Interrupt Scheduling
Abstract—Some real-time kernels (such as a recent realtime version of Linux) permit to execute interrupt handlers in dedicated threads, to control their interference on realtime ...
Nicola Manica, Luca Abeni, Luigi Palopoli
146
Voted
ICCV
2005
IEEE
16 years 5 months ago
Neighborhood Preserving Embedding
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zha...
155
Voted
CVPR
2005
IEEE
15 years 9 months ago
Nonlinear Face Recognition Based on Maximum Average Margin Criterion
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
Baochang Zhang, Xilin Chen, Shiguang Shan, Wen Gao
132
Voted
ICPR
2008
IEEE
15 years 10 months ago
Regularized discriminant analysis for transformation-invariant object recognition
We present a novel method for incorporating prior knowledge about invariances in object recognition for discriminant analysis. In contrast to conventional isotropic regularization...
Yung-Kyun Noh, Jihun Ham, Daniel D. Lee