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NN
2006
Springer
114views Neural Networks» more  NN 2006»
13 years 7 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
ICASSP
2009
IEEE
14 years 2 months ago
Robust discriminative keyword spotting for emotionally colored spontaneous speech using bidirectional LSTM networks
In this paper we propose a new technique for robust keyword spotting that uses bidirectional Long Short-Term Memory (BLSTM) recurrent neural nets to incorporate contextual informa...
Martin Wöllmer, Florian Eyben, Joseph Keshet,...
LREC
2010
197views Education» more  LREC 2010»
13 years 9 months ago
Automatic Annotation of Co-Occurrence Relations
We introduce a method for automatically labelling edges of word co-occurrence graphs with semantic relations. Therefore we only make use of training data already contained within ...
Dirk Goldhahn, Uwe Quasthoff
CVPR
2010
IEEE
14 years 4 months ago
Parallel and Distributed Graph Cuts by Dual Decomposition
Graph cuts methods are at the core of many state-of-theart algorithms in computer vision due to their efficiency in computing globally optimal solutions. In this paper, we solve t...
Petter Strandmark, Fredrik Kahl
GD
2008
Springer
13 years 9 months ago
Graph Drawing for Security Visualization
Abstract. As the number of devices connected to the internet continues to grow rapidly and software systems are being increasingly deployed on the web, security and privacy have be...
Roberto Tamassia, Bernardo Palazzi, Charalampos Pa...