Exact(8)
The k-Nearest Neighbor (kNN) method of forest attribute estimation and mapping has become an integral part of national forest inventory methods in Finland in the last decade.
Experimental evidence on the speaker-independent Wall Street Journal corpus clearly demonstrates that DNNs can achieve significant improvements over the shallow MLPs with a single hidden layer, producing greater than 90% frame-level attribute estimation accuracies for all 21 phonetic features tested.
Previous studies have demonstrated similar effect of pulse density in forest attribute estimation.
There are two generic approaches to attribute estimation using LiDAR data.
In our analysis, we rely on existing techniques for face detection, pose estimation, appearance normalization, and attribute estimation.
For attribute estimation, Kumar et al. developed a method for pairwise face verification by comparing sets of human-describable features and visually descriptive similes [11].
Similar(52)
Pitman's Closeness Measure plays an important role in multiple-attribute estimation ranking.
However, its non-transitivity problem brings inconvenience for multiple-attribute estimation ranking.
Nevertheless, in multiple-attribute estimation ranking, one may cares not only better or worse but also how much better or worse.
The surface feature based strategy relies on differential geometric attributes estimation and diverse feature extraction techniques.
The methods and algorithms such as attributes estimation based on 4D Shepard surface, symmetry plane extraction, quadric surface recognition and optimization, extruded and rotational surface extraction, and blend feature extraction with probability and statistic theory are proposed.
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