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» A New Study on Distance Metrics as Similarity Measurement
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ICPR
2008
IEEE
14 years 2 months ago
A similarity measure under Log-Euclidean metric for stereo matching
Stereo matching has been one of the most active areas in computer vision for decades. Many methods, ranging from similarity measures to local or global matching cost optimization ...
Quanquan Gu, Jie Zhou
ICCV
1998
IEEE
13 years 12 months ago
Condensing Image Databases when Retrieval is Based on Non-Metric Distances
One of the key problems in appearance-based vision is understanding how to use a set of labeled images to classify new images. Classification systems that can model human performa...
David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu
DEXAW
1999
IEEE
168views Database» more  DEXAW 1999»
13 years 12 months ago
Using the Distance Distribution for Approximate Similarity Queries in High-Dimensional Metric Spaces
We investigate the problem of approximate similarity (nearest neighbor) search in high-dimensional metric spaces, and describe how the distance distribution of the query object ca...
Paolo Ciaccia, Marco Patella
LREC
2008
110views Education» more  LREC 2008»
13 years 9 months ago
Evaluating Evaluation Metrics for Ontology-Based Applications: Infinite Reflection
In this paper, we discuss methods of measuring the performance of ontology-based information extraction systems. We focus particularly on the Balanced Distance Metric (BDM), a new...
Diana Maynard, Wim Peters, Yaoyong Li
MMM
2011
Springer
251views Multimedia» more  MMM 2011»
12 years 11 months ago
Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval
Abstract. Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree...
Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Y...