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A multiview, multimodal fusion algorithm for classifying marine plankton is described and its performance is evaluated on laboratory data from live animals. The algorithm uses support vector machines with softmax outputs to classify either acoustical or optical features. Outputs from these single-view classifiers are then combined together using a feedback(More)
In many experimental observation systems where the goal is to record a three-dimensional observation of an object, or a set of objects, a lower-dimensional projection of the intended subject is obtained. In some situations only the statistical properties of such objects are desired: the three-dimensional probability density function. This article(More)
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