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165
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CVPR
2010
IEEE
15 years 11 months ago
Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing
Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been show...
Michael Bronstein, Alexander Bronstein, Nikos Para...
115
Voted
AVBPA
2001
Springer
157views Biometrics» more  AVBPA 2001»
15 years 8 months ago
EigenGait: Motion-Based Recognition of People Using Image Self-Similarity
We present a novel technique for motion-based recognition of individual gaits in monocular sequences. Recent work has suggested that the image self-similarity plot of a moving per...
Chiraz BenAbdelkader, Ross Cutler, Harsh Nanda, La...
128
Voted
ECAI
2010
Springer
15 years 4 months ago
A Very Fast Method for Clustering Big Text Datasets
Large-scale text datasets have long eluded a family of particularly elegant and effective clustering methods that exploits the power of pair-wise similarities between data points ...
Frank Lin, William W. Cohen
110
Voted
FLAIRS
2001
15 years 5 months ago
Tracking Clusters in Evolving Data Sets
As organizations accumulate data over time, the problem of tracking how patterns evolve becomes important. In this paper, we present an algorithm to track the evolution of cluster...
Daniel Barbará, Ping Chen
130
Voted
HT
1997
ACM
15 years 7 months ago
Structuring and Visualising the WWW by Generalised Similarity Analysis
This paper describes a generic approach to structuring and visualising a hypertext-based information space on the WWW. This approach, called Generalised Similarity Analysis (GSA),...
Chaomei Chen