1516 search results - page 151 / 304 » On the Learnability of Vector Spaces |
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EMNLP
2011
13 years 10 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...
IACR
2011
13 years 9 months ago
2011
In this paper, we explore a general methodology for converting composite order pairingbased cryptosystems into the prime order setting. We employ the dual pairing vector space app...
ICIP
2000
IEEE
15 years 11 months ago
2000
IEEE
This contribution proposes a fuzzy approach to color image filtering by the fuzzy modeling of the concept of color credibility. Based on the perceptual notion of color resemblance...
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ICPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled data in a vector space. Recently, LDA has been extended to...
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...