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ECCV
2008
Springer
14 years 9 months ago
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...
NC
1998
102views Neural Networks» more  NC 1998»
13 years 9 months ago
Outliers and Bayesian Inference
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Peter Sykacek
SC
2005
ACM
14 years 1 months ago
Intelligent Feature Extraction and Tracking for Visualizing Large-Scale 4D Flow Simulations
Terascale simulations produce data that is vast in spatial, temporal, and variable domains, creating a formidable challenge for subsequent analysis. Feature extraction as a data r...
Fan-Yin Tzeng, Kwan-Liu Ma
CVIU
2010
115views more  CVIU 2010»
13 years 7 months ago
A modified model for the Lobula Giant Movement Detector and its FPGA implementation
Bio-inspired vision sensors are particularly appropriate candidates for navigation of vehicles or mobile robots due to their computational simplicity, allowing compact hardware im...
Hongying Meng, Kofi Appiah, Shigang Yue, Andrew Hu...
FLAIRS
2006
13 years 9 months ago
Simulated Visual Perception-Based Control for Autonomous Mobile Agents
Autonomous robots, such as automatic vacuum cleaners, toy robot dogs, and autonomous vehicles for the military, are rapidly becoming a part of everyday life. As a result the need ...
Daniel Flower, Burkhard Wünsche, Hans W. Gues...