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ESANN
2006
13 years 9 months ago
Visual object classification by sparse convolutional neural networks
Abstract. A convolutional network architecture termed sparse convolutional neural network (SCNN) is proposed and tested on a real-world classification task (car classification). In...
Alexander Gepperth
VISSOFT
2002
IEEE
14 years 21 days ago
Metrics-Based 3D Visualization of Large Object-Oriented Programs
In this paper a new approach for a metrics based software visualization is presented which supports an efficient and effective quality assessment of large object-oriented software...
Claus Lewerentz, Frank Simon
VLDB
1993
ACM
152views Database» more  VLDB 1993»
13 years 12 months ago
Declustering Objects for Visualization
In this paper we propose a new declustering method which is particularly suitable for image and cartographic databases used for visualization. Our declustering method is based on ...
Ling Tony Chen, Doron Rotem
EPIA
2009
Springer
14 years 2 months ago
Learning Visual Object Categories with Global Descriptors and Local Features
Different types of visual object categories can be found in real-world applications. Some categories are very heterogeneous in terms of local features (broad categories) while oth...
Rui Pereira, Luís Seabra Lopes
WACV
2008
IEEE
14 years 2 months ago
Likelihood Map Fusion for Visual Object Tracking
Visual object tracking can be considered as a figure-ground classification task. In this paper, different features are used to generate a set of likelihood maps for each pixel i...
Zhaozheng Yin, Fatih Porikli, Robert T. Collins