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IPCV
2008
13 years 9 months ago
Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...
Alexander Wong, William Bishop
IWANN
2005
Springer
14 years 1 months ago
Modeling Neural Processes in Lindenmayer Systems
Computing in nature as is the case with the human brain is an emerging research area in theoretical computer science. The present paper’s aim is to explore biological neural cell...
Carlos Martín-Vide, Tseren-Onolt Ishdorj
ICIAR
2009
Springer
14 years 4 days ago
Abnormal Behavior Recognition Using Self-Adaptive Hidden Markov Models
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
Jun Yin, Yan Meng
CVIU
2008
114views more  CVIU 2008»
13 years 7 months ago
On geometric variational models for inpainting surface holes
Geometric approaches for filling-in surface holes are introduced and studied in this paper. The basic idea is to represent the surface of interest in implicit form, and fill-in th...
Vicent Caselles, Gloria Haro, Guillermo Sapiro, Jo...
FOSAD
2009
Springer
14 years 2 months ago
The Open-Source Fixed-Point Model Checker for Symbolic Analysis of Security Protocols
We introduce the Open-source Fixed-point Model Checker OFMC for symbolic security protocol analysis, which extends the Onthe-fly Model Checker (the previous OFMC). The native inpu...
Sebastian Mödersheim, Luca Viganò