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ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...
BMCBI
2008
122views more  BMCBI 2008»
13 years 8 months ago
Effects of dependence in high-dimensional multiple testing problems
Background: We consider effects of dependence among variables of high-dimensional data in multiple hypothesis testing problems, in particular the False Discovery Rate (FDR) contro...
Kyung In Kim, Mark A. van de Wiel
ICRA
2005
IEEE
100views Robotics» more  ICRA 2005»
14 years 2 months ago
Improved Signal To Noise Ratio And Computational Speed For Gradient-Based Detection Algorithms
— Image gradient-based feature detectors offer great advantages over their standard edge-only equivalents. In driver support systems research, the radial symmetry detection algor...
Nick Barnes
ICDAR
1999
IEEE
14 years 28 days ago
Combining Classifiers based on Confidence Values
This paper describes our investigation into the neural gas (NG) network algorithm and the hierarchical overlapped architecture (HONG) which we have built by retaining the essence ...
Ajantha S. Atukorale, Ponnuthurai N. Suganthan
CVPR
2004
IEEE
14 years 10 months ago
Self-Normalized Linear Tests
Making decisions based on a linear combination L of features is of course very common in pattern recognition. For distinguishing between two hypotheses or classes, the test is of ...
Sachin Gangaputra, Donald Geman