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» Distance Patterns in Structural Similarity
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CVPR
2006
IEEE
14 years 2 months ago
Motion Patterns: High-Level Representation of Natural Video Sequences
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
Duangmanee Putthividhya, Te-Won Lee
ICDM
2008
IEEE
155views Data Mining» more  ICDM 2008»
14 years 3 months ago
Organic Pie Charts
We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex d...
Fabian Mörchen
ASC
2007
13 years 8 months ago
Unsupervised learning with normalised data and non-Euclidean norms
The measurement of distance is one of the key steps in the unsupervised learning process, as it is through these distance measurements that patterns and correlations are discovere...
Kevin Doherty, Rod Adams, Neil Davey
BMCBI
2006
118views more  BMCBI 2006»
13 years 8 months ago
A graphical model approach to automated classification of protein subcellular location patterns in multi-cell images
Background: Knowledge of the subcellular location of a protein is critical to understanding how that protein works in a cell. This location is frequently determined by the interpr...
Shann-Ching Chen, Robert F. Murphy
SIGMOD
2008
ACM
144views Database» more  SIGMOD 2008»
14 years 9 months ago
Mining significant graph patterns by leap search
With ever-increasing amounts of graph data from disparate sources, there has been a strong need for exploiting significant graph patterns with user-specified objective functions. ...
Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu