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» Non-distributional Word Vector Representations
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EMNLP
2011
12 years 8 months ago
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
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...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...
ICANN
2007
Springer
14 years 2 months ago
Towards Understanding of Natural Language: Neurocognitive Inspirations
Neurocognitive processes responsible for representation of meaning and understanding of words are investigated. First a review of current knowledge about word representation, recen...
Wlodzislaw Duch, Pawel Matykiewicz, John Pestian
CVPR
2009
IEEE
15 years 3 months ago
Efficient Representation of Local Geometry for Large Scale Object Retrieval
State of the art methods for image and object re- trieval exploit both appearance (via visual words) and local geometry (spatial extent, relative pose). In large scale problems,...
Michal Perdoch (Czech Technical University), Ondre...
ICA
2007
Springer
14 years 13 days ago
Compact Representations of Market Securities Using Smooth Component Extraction
Independent Component Analysis (ICA) is a statistical method for expressing an observed set of random vectors as a linear combination of statistically independent components. This...
Hariton Korizis, Nikolaos Mitianoudis, Anthony G. ...
GW
2007
Springer
241views Biometrics» more  GW 2007»
14 years 2 months ago
Representation of Human Postures for Vision-Based Gesture Recognition in Real-Time
In this paper, we present a Vision-Based Interface guided by the user gestures. The advantage of our system is that it is built over a motion capture system that recovers the body ...
Antoni Jaume-i-Capó, Javier Varona, Francis...