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» Minimum Risk Distance Measure for Object Recognition
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CVPR
2010
IEEE
14 years 1 months ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal
SDM
2007
SIAM
201views Data Mining» more  SDM 2007»
13 years 9 months ago
Fast Best-Match Shape Searching in Rotation Invariant Metric Spaces
Object recognition and content-based image retrieval systems rely heavily on the accurate and efficient identification of shapes. A fundamental requirement in the shape analysis ...
Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng...
TMM
2008
201views more  TMM 2008»
13 years 7 months ago
Fast Best-Match Shape Searching in Rotation-Invariant Metric Spaces
Object recognition and content-based image retrieval systems rely heavily on the accurate and efficient identification of shapes. A fundamental requirement in the shape analysis p...
Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng...
ICPR
2010
IEEE
13 years 5 months ago
Rectifying Non-Euclidean Similarity Data Using Ricci Flow Embedding
Similarity based pattern recognition is concerned with the analysis of patterns that are specified in terms of object dissimilarity or proximity rather than ordinal values. For man...
Weiping Xu, Edwin R. Hancock, Richard C. Wilson
ECCV
2006
Springer
14 years 9 months ago
EMD-L1: An Efficient and Robust Algorithm for Comparing Histogram-Based Descriptors
We propose a fast algorithm, EMD-L1, for computing the Earth Mover's Distance (EMD) between a pair of histograms. Compared to the original formulation, EMD-L1 has a largely si...
Haibin Ling, Kazunori Okada