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ICDCS
2006
IEEE
15 years 4 months ago
In-Network Outlier Detection in Wireless Sensor Networks
To address the problem of unsupervised outlier detection in wireless sensor networks, we develop an algorithm that (1) is flexible with respect to the outlier definition, (2) wo...
Joel W. Branch, Boleslaw K. Szymanski, Chris Giann...
CVPR
2006
IEEE
15 years 12 months ago
Unsupervised Learning of Categories from Sets of Partially Matching Image Features
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
Kristen Grauman, Trevor Darrell
ICIAR
2005
Springer
15 years 3 months ago
Estimating the Natural Number of Classes on Hierarchically Clustered Multi-spectral Images
Image classification is often used to extract information from multi-spectral satellite images. Unsupervised methods can produce results well adjusted to the data, but that are us...
André R. S. Marçal, Janete S. Borges
ICIP
2010
IEEE
14 years 8 months ago
Detecting pitching frames in baseball game video using Markov random walk
Pitching is the starting point of an event in baseball games. Hence, locating pitching shots is a critical step in content analysis of a baseball game video. However, pitching fra...
Chih-Yi Chiu, Po-Chih Lin, Wei-Ming Chang, Hsin-Mi...
DICTA
2007
14 years 11 months ago
K-means Clustering for Classifying Unlabelled MRI Data
Texture analysis of the liver for the diagnosis of cirrhosis is usually region-of-interest (ROI) based. Integrity of the label of ROI data may be a problem due to sampling. This p...
Gobert N. Lee, Hiroshi Fujita