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» Enhancements for Local Feature Based Image Classification
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ICIP
2005
IEEE
14 years 9 months ago
Local manifold matching for face recognition
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...
Wei Liu, Wei Fan, Yunhong Wang, Tieniu Tan
ICPR
2010
IEEE
13 years 5 months ago
Improving Classification Accuracy by Comparing Local Features through Canonical Correlations
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...
Mert Dikmen, Thomas S. Huang
TIP
2002
179views more  TIP 2002»
13 years 7 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
ICIP
2003
IEEE
14 years 9 months ago
Rotation-invariant features based on steerable transforms with an application to distributed image classification
In this paper, we propose a new rotation-invariant image retrieval system based on steerable pyramids and the concept of angular alignment across scales. First, we define energy-b...
Baltasar Beferull-Lozano, Antonio Ortega, Hua Xie
VIIP
2001
13 years 9 months ago
Automatic Horizon Matching across Faults
A method for automatic horizon tracking in reflection seismic data images across discontinuities is described. Horizon tracking is an important task of the structural interpretati...
Melanie Aurnhammer, Klaus D. Tönnies