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» MUSETTE: a framework for knowledge capture from experience
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WWW
2011
ACM
14 years 4 months ago
Web information extraction using Markov logic networks
In this paper, we consider the problem of extracting structured data from web pages taking into account both the content of individual attributes as well as the structure of pages...
Sandeepkumar Satpal, Sahely Bhadra, Sundararajan S...
VR
2011
IEEE
204views Virtual Reality» more  VR 2011»
14 years 1 months ago
Stable vision-aided navigation for large-area augmented reality
In this paper, we present a unified approach for a drift-free and jitter-reduced vision-aided navigation system. This approach is based on an error-state Kalman filter algorithm...
Taragay Oskiper, Han-Pang Chiu, Zhiwei Zhu, Supun ...
EMNLP
2011
13 years 9 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,...
SIGMOD
2012
ACM
240views Database» more  SIGMOD 2012»
13 years 5 days ago
Finding related tables
We consider the problem of finding related tables in a large corpus of heterogenous tables. Detecting related tables provides users a powerful tool for enhancing their tables wit...
Anish Das Sarma, Lujun Fang, Nitin Gupta 0003, Alo...
PAMI
2012
13 years 4 days ago
Holistic Context Models for Visual Recognition
— A novel framework to context modeling, based on the probability of co-occurrence of objects and scenes is proposed. The modeling is quite simple, and builds upon the availabili...
Nikhil Rasiwasia, Nuno Vasconcelos