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» A New Study on Distance Metrics as Similarity Measurement
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ECCV
2002
Springer
16 years 1 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
15 years 1 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
16 years 1 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
15 years 4 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
14 years 3 months 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...