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95
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IPSN
2010
Springer
15 years 10 months ago
Self-identifying sensor data
Public-use sensor datasets are a useful scientific resource with the unfortunate feature that their provenance is easily disconnected from their content. To address this we intro...
Stephen Chong, Christian Skalka, Jeffrey A. Vaugha...
151
Voted
MM
2009
ACM
269views Multimedia» more  MM 2009»
15 years 10 months ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...
128
Voted
ICDM
2008
IEEE
96views Data Mining» more  ICDM 2008»
15 years 10 months ago
Filling in the Blanks - Krimp Minimisation for Missing Data
Many data sets are incomplete. For correct analysis of such data, one can either use algorithms that are designed to handle missing data or use imputation. Imputation has the bene...
Jilles Vreeken, Arno Siebes
SMI
2008
IEEE
131views Image Analysis» more  SMI 2008»
15 years 10 months ago
Segmentation-free skeletonization of grayscale volumes for shape understanding
Medical imaging has produced a large number of volumetric images capturing biological structures in 3D. Computer-based understanding of these structures can often benefit from th...
Sasakthi S. Abeysinghe, Matthew L. Baker, Wah Chiu...
140
Voted
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 10 months ago
Semi-supervised Clustering Using Bayesian Regularization
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang