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» Hybrid localization using the hierarchical atlas
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AGI
2011
12 years 9 months ago
Imprecise Probability as a Linking Mechanism between Deep Learning, Symbolic Cognition and Local Feature Detection in Vision Pro
A novel approach to computer vision is outlined, involving the use of imprecise probabilities to connect a deep learning based hierarchical vision system with both local feature de...
Ben Goertzel
DFT
2003
IEEE
132views VLSI» more  DFT 2003»
13 years 11 months ago
Level-Hybrid Optoelectronic TESH Interconnection Network
This paper discusses a hybrid optoelectronic scheme for a new interconnection network, "Tori connected mESHes (TESH)". The major features of TESH are the following: it i...
Vijay K. Jain, Glenn H. Chapman
PR
2007
235views more  PR 2007»
13 years 5 months ago
Robust facial feature tracking under varying face pose and facial expression
This paper presents a hierarchical multi-state pose-dependent approach for facial feature detection and tracking under varying facial expression and face pose. For effective and e...
Yan Tong, Yang Wang 0002, Zhiwei Zhu, Qiang Ji
ICPR
2008
IEEE
14 years 6 days ago
Application of graph coloring in physical layout segmentation
Every-day, the postal sorting systems diffuse several tons of mails. It is noted that the principal origin of mail rejection is related to the failure of address-block localizatio...
Djamel Gaceb, Véronique Eglin, Frank Lebour...
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
13 years 11 months ago
Multi-niche crowding in the development of parallel genetic simulated annealing
In this paper, a new hybrid of genetic algorithm (GA) and simulated annealing (SA), referred to as GSA, is presented. In this algorithm, SA is incorporated into GA to escape from ...
Zhi-Gang Wang, Mustafizur Rahman 0002, Yoke-San Wo...