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» Degraded Image Analysis: An Invariant Approach
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SGAI
2005
Springer
14 years 2 months ago
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
This paper presents the results of an investigation into the use of machine learning methods for the identification of narcotics from Raman spectra. The classification of spectr...
Tom Howley, Michael G. Madden, Marie-Louise O'Conn...
ICASSP
2008
IEEE
14 years 3 months ago
Mutual features for robust identification and verification
Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...
Heiko Claussen, Justinian Rosca, Robert I. Damper
ICIP
2010
IEEE
13 years 6 months ago
A new subspace learning method in Fourier domain for texture classification
This paper proposes a new texture classification approach. There are two main contributions in the proposed method. First, input texture images are transformed to the composite Fo...
Shu Liao, Albert C. S. Chung
ICIP
2008
IEEE
14 years 10 months ago
Image registration using Adaptive Polar Transform
Image registration is an essential step in many image processing applications that need visual information from multiple images for comparison, integration or analysis. Recently r...
Rittavee Matungka, Yuan F. Zheng, Robert L. Ewing
ICIAR
2010
Springer
14 years 1 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic