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» Convolutional Neural Networks for Image Processing: An Appli...
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ICIP
1999
IEEE
14 years 6 months ago
Roc Curves for Performance Evaluation of Video Sequences Processing Systems for Surveillance Applications
Performances evaluation of image processing intermediate results in video based surveillance systems is extremely important due to the variety of approaches to this task. In this ...
Franco Oberti, Andrea Teschioni, Carlo S. Regazzon...
ICIP
1999
IEEE
14 years 6 months ago
Video Sequence Learning and Recognition Via Dynamic Som
Information contained in the video sequences is crucial for an autonomous robot or a computer to learn and respond to its surrounding environment. In the past, robot vision is mai...
Qiong Liu, Yong Rui, Thomas S. Huang, Stephen E. L...
ICANN
2005
Springer
13 years 10 months ago
Fast Color-Based Object Recognition Independent of Position and Orientation
Small mobile robots typically have little on-board processing power for time-consuming vision algorithms. Here we show how they can quickly extract very dense yet highly useful inf...
Martijn van de Giessen, Jürgen Schmidhuber
ICANN
2007
Springer
13 years 11 months ago
Multi-dimensional Recurrent Neural Networks
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
Alex Graves, Santiago Fernández, Jürge...
ICPR
2008
IEEE
14 years 6 months ago
A probabilistic Self-Organizing Map for facial recognition
This article presents a method aiming at quantifying the visual similarity between an image and a class model. This kind of problem is recurrent in many applications such as objec...
Christophe Garcia, Grégoire Lefebvre