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» Training Methods for Adaptive Boosting of Neural Networks
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85
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ICPR
2000
IEEE
15 years 2 months ago
A New Segmentation Approach for Handwritten Digits
This article deals with a new segmentation approach applied to unconstrained handwritten digits. The novelty of the proposed algorithm is based on the combination of two types of ...
Luiz E. Soares de Oliveira, Edouard Lethelier, Fl&...
ECRIME
2007
15 years 1 months ago
A comparison of machine learning techniques for phishing detection
There are many applications available for phishing detection. However, unlike predicting spam, there are only few studies that compare machine learning techniques in predicting ph...
Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang, Suku Na...
FGR
2004
IEEE
182views Biometrics» more  FGR 2004»
15 years 1 months ago
Head Pose Estimation Using Stereo Vision For Human-Robot Interaction
In this paper we present a method for estimating a person's head pose with a stereo camera. Our approach focuses on the application of human-robot interaction, where people m...
Edgar Seemann, Kai Nickel, Rainer Stiefelhagen
BMCBI
2010
103views more  BMCBI 2010»
14 years 9 months ago
Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information
Background: Guanosine triphosphate (GTP)-binding proteins play an important role in regulation of G-protein. Thus prediction of GTP interacting residues in a protein is one of the...
Jagat S. Chauhan, Nitish K. Mishra, Gajendra P. S....
78
Voted
ICASSP
2009
IEEE
15 years 4 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,...