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» Neural Model Identification Using Local Robustness Analysis
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IJCNN
2007
IEEE
14 years 1 months ago
Analysis of mammogram using self-organizing neural networks based on spatial isomorphism
— The correct segmentation and measurement of mammography images is of fundamental importance for the development of automatic or computer-aided cancer detection systems. In this...
Aida A. Ferreira, Francisco Nascimento Jr., Ing Re...
ICDAR
2011
IEEE
12 years 7 months ago
Offline Writer Identification Using K-Adjacent Segments
— This paper presents a method for performing offline writer identification by using K-adjacent segment (KAS) features in a bag-of-features framework to model a user’s handwrit...
Rajiv Jain, David S. Doermann
ICIP
2004
IEEE
14 years 9 months ago
Robust ego-motion estimation and 3d model refinement using depth based parallax model
We present an iterative algorithm for robustly estimating the egomotion and refining and updating a coarse, noisy and partial depth map using a depth based parallax model and brig...
Amit K. Agrawal, Rama Chellappa
ICANN
2003
Springer
14 years 17 days ago
Self-Organizing Operator Maps in Complex System Analysis
Abstract. The growth in amount of data available today has encouraged the development of effective data analysis methods to support human decision-making. Neuro-fuzzy computation ...
Pasi Lehtimäki, Kimmo Raivio, Olli Simula
IKE
2008
13 years 8 months ago
Text-independent Speaker Identification Based on MAP Channel Compensation and Pitch-dependent Features
One major source of performance decline in speaker recognition system is channel mismatch between training and testing. This paper focuses on improving channel robustness of speake...
JiQing Han, RongChun Gao