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» Image classification using hybrid neural networks
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NIPS
1997
13 years 10 months ago
A Neural Network Based Head Tracking System
We have constructed an inexpensive, video-based, motorized tracking system that learns to track a head. It uses real time graphical user inputs or an auxiliary infrared detector a...
Daniel D. Lee, H. Sebastian Seung
ROBOCUP
2004
Springer
95views Robotics» more  ROBOCUP 2004»
14 years 2 months ago
Visual Robot Detection in RoboCup Using Neural Networks
Abstract. Robot recognition is a very important point for further improvements in game-play in RoboCup middle size league. In this paper we present a neural recognition method we d...
Ulrich Kaufmann, Gerd Mayer, Gerhard K. Kraetzschm...
ESANN
2003
13 years 10 months ago
VLSI Realization of a Two-Dimensional Hamming Distance Comparator ANN for Image Processing Applications
This paper presents the hardware realization of a Hamming artificial neural network, and demonstrates its use in a high-speed precision alignment system. High degree of parallelism...
Stéphane Badel, Alexandre Schmid, Yusuf Leb...
TMI
2008
195views more  TMI 2008»
13 years 9 months ago
A Multichannel Watershed-Based Segmentation Method for Multispectral Chromosome Classification
Multiplex fluorescent in situ hybridization (M-FISH) is a recently developed chromosome imaging technique where each chromosome class appears to have a distinct color. This techniq...
Petros S. Karvelis, Alexandros T. Tzallas, Dimitri...
ICANN
2010
Springer
13 years 9 months ago
Deep Bottleneck Classifiers in Supervised Dimension Reduction
Deep autoencoder networks have successfully been applied in unsupervised dimension reduction. The autoencoder has a "bottleneck" middle layer of only a few hidden units, ...
Elina Parviainen