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ETRA
2010
ACM
160views Biometrics» more  ETRA 2010»
15 years 1 months ago
A vector-based, multidimensional scanpath similarity measure
A great need exists in many fields of eye-tracking research for a robust and general method for scanpath comparisons. Current measures either quantize scanpaths in space (string e...
Halszka Jarodzka, Kenneth Holmqvist, Marcus Nystr&...
132
Voted
MICCAI
2005
Springer
16 years 4 months ago
Support Vector Clustering for Brain Activation Detection
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann H...
126
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UAI
2000
15 years 5 months ago
Minimum Message Length Clustering Using Gibbs Sampling
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
Ian Davidson
SCANGIS
2001
15 years 5 months ago
Improving relief classification with contextual merging
Automatic classification of relief attributes into meaningful morphological units has a great potential within the field of geomorphology. When applying common classification algor...
Bård Romstad
154
Voted
PAMI
2002
243views more  PAMI 2002»
15 years 3 months ago
An Efficient k-Means Clustering Algorithm: Analysis and Implementation
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...