Sentence examples for the leaf features from inspiring English sources

Exact(1)

Once the leaf features X = (x 1, x 2, …, x n ) are extracted from a leaf, the leaf classifier can be expressed using the following equation: (5) i ^ = arg max T i P (T i | X ) where T i is the model of leaf i and P (T i | X ) is the discriminant function of T i. Bayes' theorem indicates (6) P (T i | X ) = f (X | T i ) × P (T i ) f (X ) where f is the probability density function.

Similar(59)

I'm not so sure my review of the Leaf would have been so enthusiastic if the Leaf featured these new prices.

Figures 3A-1 and 3B-1 correspond to the leaf feature rate distribution, while 3A-2 and 3B-2 correspond to intra-subset branch rate with 3A-3 and 3B-3 from inter-subset branch rate.

The new Leaf features regenerative braking, which allows for single-pedal driving if you've got the foot skills and sense of timing.

The majority of the studied species possess mesomorphic leaf features as simple lamina, single-layered epidermis, and soft (mallacophyllous) large-size leaves with high SLA.

The Complete Death of Cool (Leaf) features some familiar faces (Si Begg, Neil Landstrumm, and Jamie Lidell) and some not so familiar (The Buttmasters, Anal Parade, Barry Pseudonym).

Our character reconstruction suggests that shifts in leaf features allowing the colonization of different habitats have been related with specific speciation events (Fig. 2).

In this paper, we learn useful leaf features directly from the raw representations of input data using Convolutional Neural Networks (CNN), and gain intuition of the chosen features based on a Deconvolutional Network (DN) approach.

They argue the leaf shown features more sections and has a more pointed outline than the Canadian version.

For leaf modeling, leaves belonging to the same species were used to detect and extract leaf features.

Hitherto, numerous studies have focused on procedures or algorithms that maximize the use of leaf databases for plant predictive modeling, but this results in leaf features which are liable to change with different leaf data and feature extraction techniques.

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