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» Interpretation of Trained Neural Networks by Rule Extraction
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ICIAR
2005
Springer
14 years 4 months ago
Text-Pose Estimation in 3D Using Edge-Direction Distributions
Abstract. This paper presents a method for estimating the orientation of planar text surfaces using the edge-direction distribution (EDD) extracted from the image as input to a neu...
Marius Bulacu, Lambert Schomaker
TJS
2010
182views more  TJS 2010»
13 years 9 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
NIPS
2008
14 years 6 days ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
MIR
2010
ACM
206views Multimedia» more  MIR 2010»
14 years 4 months ago
An investigation into the relationship between semantic and content based similarity using LIDC
There is considerable research in the field of content-based medical image retrieval; however, few of the current systems investigate the relationship between the radiologists’...
Robert Kim, Grace Dasovich, Runa Bhaumik, Richard ...
ISCAS
2006
IEEE
160views Hardware» more  ISCAS 2006»
14 years 4 months ago
Address-event image sensor network
We describe a sensor network based on smart requirements of the network. This will provide a new approach imager sensors able to extract events of interest from a scene. for compos...
Eugenio Culurciello, Andreas Savvides