3449 search results - page 505 / 690 » A Framework for Multiple-Instance Learning |
180
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TSMC
2010
15 years 1 months ago
2010
In Smart Spaces (SSs), the capability of learning from experience is fundamental for autonomous adaptation to environmental changes and for proactive interaction with users. New re...
225
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
301
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EMNLP
2011
14 years 6 months ago
2011
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
237
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WACV
2012
IEEE
14 years 2 months ago
2012
IEEE
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
239
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JMLR
2012
13 years 9 months ago
2012
We propose a new family of latent variable models called max-margin min-entropy (m3e) models, which define a distribution over the output and the hidden variables conditioned on ...