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» Visualization of the Learning Process Using Concept Mapping
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ICIC
2007
Springer
16 years 14 days ago
Edge Detection Based on Spiking Neural Network Model
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...
201
Voted
CIVR
2007
Springer
231views Image Analysis» more  CIVR 2007»
16 years 15 days ago
Classification of video events using 4-dimensional time-compressed motion features
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...
Alexander Haubold, Milind R. Naphade
176
Voted
RSS
2007
145views Robotics» more  RSS 2007»
15 years 7 months ago
Semantic Modeling of Places using Objects
— While robot mapping has seen massive strides , higher level abstractions in map representation are still not widespread. Maps containing semantic concepts such as objects and l...
Ananth Ranganathan, Frank Dellaert
187
Voted
VIS
2004
IEEE
164views Visualization» more  VIS 2004»
16 years 7 months ago
Real-Time Motion Estimation and Visualization on Graphics Cards
We present a tool for real-time visualization of motion features in 2D image sequences. The motion is estimated through an eigenvector analysis of the spatiotemporal structure ten...
Christoph S. Garbe, Robert Strzodka
VISUALIZATION
2005
IEEE
15 years 12 months ago
Opening the Black Box - Data Driven Visualization of Neural Network
Arti cial neural networks are computer software or hardware models inspired by the structure and behavior of neurons in the human nervous system. As a powerful learning tool, incr...
Fan-Yin Tzeng, Kwan-Liu Ma