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Nearly 30 years have elapsed since Kretz (1983) provided the mineralogical community with a systematized list of abbreviations… Expand This paper presents a novel adaptive synthetic (ADASYN) sampling approach for learning from imbalanced data sets. The essential… Expand While different optical flow techniques continue to appear, there has been a lack of quantitative evaluation of existing methods… Expand This paper addresses the problem of segmenting an image into regions. We define a predicate for measuring the evidence for a… Expand An approach to the construction of classifiers from imbalanced datasets is described. A dataset is imbalanced if the… Expand We present conditional random fields , a framework for building probabilistic models to segment and label sequence data… Expand The third edition of this highly successful manual is not only a revised text but has been extended to meet the interpretive… Expand From the Publisher:
Artificial "neural networks" are now widely used as flexible models for regression classification… Expand Physiological and ecological constraints play key roles in the evolution of plant growth patterns, especially in relation to… Expand SUMMARY
We determine best-fitting Euler vectors, closure-fitting Euler vectors, and a new global model (NUVEL-1) describing the… Expand