302 search results - page 30 / 61 » Non-parametric Mixture Models for Clustering |
81
Voted
ICIP
2004
IEEE
16 years 1 months ago
2004
IEEE
Over the years, researchers in the image analysis community have successfully used various statistical modeling methods to segment, classify, and annotate digital images. In this ...
110
Voted
ISBI
2006
IEEE
2006
IEEE
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
16 years 14 days ago
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
101
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ICPR
2004
IEEE
16 years 26 days ago
2004
IEEE
Numerous clustering algorithms, their taxonomies and evaluation studies are available in the literature. Despite the diversity of different clustering algorithms, solutions delive...
115
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EMNLP
2011
13 years 11 months ago
2011
Context-dependent word similarity can be measured over multiple cross-cutting dimensions. For example, lung and breath are similar thematically, while authoritative and superfici...
ECML
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...