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» Unsupervised image embedding using nonparametric statistics
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CVPR
2011
IEEE
14 years 8 months ago
Iterative Quantization: A Procrustean Approach to Learning Binary Codes
This paper addresses the problem of learning similaritypreserving binary codes for efficient retrieval in large-scale image collections. We propose a simple and efficient altern...
Yunchao Gong, Svetlana Lazebnik
CVPR
2010
IEEE
15 years 25 days ago
The Phase Only Transform for unsupervised surface defect detection
We present a simple, fast, and effective method to detect defects on textured surfaces. Our method is unsupervised and contains no learning stage or information on the texture bei...
Dror Aiger, Hugues Talbot
ICPR
2004
IEEE
16 years 24 days ago
Complex Human Activity Recognition for Monitoring Wide Outdoor Environments
The problem of automatic recognition of human activities is among the most important and challenging open areas of research in Computer Vision. This paper presents a new approach ...
Arcangelo Distante, I. Gnoni, Marco Leo, Paolo Spa...
MICCAI
2007
Springer
16 years 19 days ago
Automatic Inference of Sulcus Patterns Using 3D Moment Invariants
The goal of this work is the automatic inference of frequent patterns of the cortical sulci, namely patterns that can be observed only for a subset of the population. The sulci are...
Zhong Yi Sun, Denis Rivière, Fabrice Poupon...
ECCV
1992
Springer
16 years 1 months ago
Boundary Detection in Piecewise Homogeneous Textured Images
We address the problem of scale selection in texture analysis. Two di erent scale parameters, feature scale and statistical scale, are dened. Statistical scale is the size of the r...
Stefano Casadei, Sanjoy K. Mitter, Pietro Perona