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» A new similarity measure using hausdorff distance map
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ETRA
2010
ACM
160views Biometrics» more  ETRA 2010»
13 years 5 months ago
A vector-based, multidimensional scanpath similarity measure
A great need exists in many fields of eye-tracking research for a robust and general method for scanpath comparisons. Current measures either quantize scanpaths in space (string e...
Halszka Jarodzka, Kenneth Holmqvist, Marcus Nystr&...
ICMCS
2006
IEEE
145views Multimedia» more  ICMCS 2006»
14 years 1 months ago
A New Study on Distance Metrics as Similarity Measurement
Distance metric is widely used in similarity estimation. In this paper we find that the most popular Euclidean and Manhattan distance may not be suitable for all data distribution...
Jie Yu, Jaume Amores, Nicu Sebe, Qi Tian
ICDE
2011
IEEE
240views Database» more  ICDE 2011»
12 years 11 months ago
Similarity measures for multidimensional data
— How similar are two data-cubes? In other words, the question under consideration is: given two sets of points in a multidimensional hierarchical space, what is the distance val...
Eftychia Baikousi, Georgios Rogkakos, Panos Vassil...
ICDAR
2007
IEEE
13 years 11 months ago
A Method for Image Local-Difference Visualization
As ancient documents are being digitized, systems for retrieving documents or images can now be found in Digital Libraries. With regard to illustrations, the content-based image r...
Etienne Baudrier, A. Riffaud
CVPR
2001
IEEE
14 years 9 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb