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TNN
1998
111views more  TNN 1998»
13 years 9 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
ACCV
2010
Springer
13 years 5 months ago
Pedestrian Recognition with a Learned Metric
This paper presents a new method for viewpoint invariant pedestrian recognition problem. We use a metric learning framework to obtain a robust metric for large margin nearest neigh...
Mert Dikmen, Emre Akbas, Thomas S. Huang, Narendra...
ISSRE
2010
IEEE
13 years 8 months ago
DoDOM: Leveraging DOM Invariants for Web 2.0 Application Robustness Testing
—Web 2.0 applications are increasing in popularity. However, they are also prone to errors because of their dynamic nature. This paper presents DoDOM, an automated system for tes...
Karthik Pattabiraman, Benjamin G. Zorn
DATE
2008
IEEE
122views Hardware» more  DATE 2008»
14 years 4 months ago
Simulation-Directed Invariant Mining for Software Verification
With the advance of SAT solvers, transforming a software program to a propositional formula has generated much interest for bounded model checking of software in recent years. How...
Xueqi Cheng, Michael S. Hsiao
ICA
2007
Springer
14 years 4 months ago
Perception of Transformation-Invariance in the Visual Pathway
Abstract. Visual perception of transformation invariance, such as translation, rotation and scaling, is one of the important functions of processing visual information in the Brain...
Wenlu Yang, Liqing Zhang, Libo Ma