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Multiple Instance Learning with the Optimal Sub-Pattern Assignment Metric
Multiple instance data are sets or multi-sets of unordered elements.
Model-Based Multiple Instance Learning
While Multiple Instance (MI) data are point patterns -- sets or multi-sets of unordered points -- appropriate statistical point pattern models have not been used in MI learning.
Clustering For Point Pattern Data
However, there has been limited research in the clustering of point patterns - sets or multi-sets of unordered elements - that are found in numerous applications and data sources.
Model-based Classification and Novelty Detection For Point Pattern Data
Point patterns are sets or multi-sets of unordered elements that can be found in numerous data sources.
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