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» A New Study on Distance Metrics as Similarity Measurement
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ECCV
2002
Springer
14 years 11 months ago
On Affine Invariant Clustering and Automatic Cast Listing in Movies
Abstract We develop a distance metric for clustering and classification algorithms which is invariant to affine transformations and includes priors on the transformation parameters...
Andrew W. Fitzgibbon, Andrew Zisserman
INTERACT
2007
13 years 10 months ago
CandidTree: Visualizing Structural Uncertainty in Similar Hierarchies
Most visualization systems fail to convey uncertainty within data. To provide a way to show uncertainty in similar hierarchies, we interpreted the differences between two tree stru...
Bongshin Lee, George G. Robertson, Mary Czerwinski...
ICIP
2003
IEEE
14 years 10 months ago
Improving shape-based face recognition by means of a supervised discriminant Hausdorff distance
This paper introduces a supervised discriminant Hausdorff distance that fits into the framework for automatic face analysis and recognition proposed in [1]. Our proposal relies so...
Albert Pujol, Antonio M. López, José...
RANDOM
2001
Springer
14 years 1 months ago
On Euclidean Embeddings and Bandwidth Minimization
We study Euclidean embeddings of Euclidean metrics and present the following four results: (1) an O(log3 n √ log log n) approximation for minimum bandwidth in conjunction with a ...
John Dunagan, Santosh Vempala
ICASSP
2011
IEEE
13 years 22 days ago
Video object tracking with differential Structural SIMilarity index
The Structural SIMilarity Measure (SSIM) combined with the sequential Monte Carlo approach has been shown [1] to achieve more reliable video object tracking performance, compared ...
Artur Loza, Fanglin Wang, Jie Yang, Lyudmila Mihay...