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» Neural Network Performances in Astronomical Image Processing
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NIPS
1997
15 years 4 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
124
Voted
FCCM
1998
IEEE
169views VLSI» more  FCCM 1998»
15 years 7 months ago
Scalable Network Based FPGA Accelerators for an Automatic Target Recognition Application
Abstract Image processing, specifically Automatic Target Recognition (ATR) in Synthetic Aperture Radar (SAR) imagery, is an application area that can require tremendous processing ...
Ruth Sivilotti, Young Cho, Wen-King Su, Danny Cohe...
SSPR
2004
Springer
15 years 8 months ago
Recognition of Handwritten Numerals Using a Combined Classifier with Hybrid Features
Off-line handwritten numeral recognition is a very difficult task. It is hard to achieve high recognition results using a single set of features and a single classifier, since hand...
Kyoung Min Kim, Joong Jo Park, Young Gi Song, In-C...
118
Voted
PERCOM
2006
ACM
16 years 3 months ago
Analysing fundamental properties of marker-based vision system designs
This paper investigates fundamental properties of Marker-based Vision (MBV) systems. We present a theoretical analysis of the performance of basic tag designs which is extended th...
Andrew C. Rice, Robert K. Harle, Alastair R. Beres...
ICIP
2004
IEEE
16 years 5 months ago
A novel progressive thick slab paradigm for volumetric medical image compression and navigation
In this paper, we propose a novel thick slab paradigm which provides an efficient scheme to navigate through large three dimensional (3-D) medical data sets within the framework o...
S. V. Bharath Kumar, Sudipta Mukhopadhyay, Vishram...