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ICPR
2002
IEEE
15 years 10 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
ARC
2009
Springer
140views Hardware» more  ARC 2009»
15 years 4 months ago
FPGA-Based Anomalous Trajectory Detection Using SOFM
A system for automatically classifying the trajectory of a moving object in a scene as usual or suspicious is presented. The system uses an unsupervised neural network (Self Organi...
Kofi Appiah, Andrew Hunter, Tino Kluge, Philip Aik...
96
Voted
SECON
2010
IEEE
14 years 7 months ago
RDAS: Reputation-Based Resilient Data Aggregation in Sensor Network
Data aggregation in wireless sensor networks is vulnerable to security attacks and natural failures. A few nodes can drastically alter the result of the aggregation by reporting er...
Carlos R. Perez-Toro, Rajesh Krishna Panta, Saurab...
82
Voted
ICANN
2005
Springer
15 years 3 months ago
Self Organizing Map (SOM) Approach for Classification of Power Quality Events
In this work, Self Organizing Map (SOM) is used in order to classify the types of defections in electrical systems, known as Power Quality (PQ) events. The features for classificat...
Emin Germen, Dogãn Gökhan Ece, Öm...
HYBRID
1998
Springer
15 years 1 months ago
High Order Eigentensors as Symbolic Rules in Competitive Learning
We discuss properties of high order neurons in competitive learning. In such neurons, geometric shapes replace the role of classic `point' neurons in neural networks. Complex ...
Hod Lipson, Hava T. Siegelmann