The method dynamically learns a color model of elephants from a few training images.
In addition, the proposed method dynamically identifies the best combination of features for people counting.
Data were acquired using a data-dependent top10 method dynamically choosing the most abundant precursor ions from the survey scan (300 1800 m/z) for HCD fragmentation.
The method dynamically learns a colour model of elephants from a few training images and, then, localizes elephants in video sequences with different backgrounds and lighting conditions.
This method dynamically initializes a sub-block with recursion metrics computed during the last decoding iteration in the neighboring sub-blocks.
Their proposed method dynamically forms a joint word set only by using all the distinct words in the pairs of sentences.
This HIMCD method dynamically applies Implicit Monte Carlo Diffusion (IMD) [1] to regions of a problem that are opaque and diffusive while applying standard Implicit Monte Carlo (IMC) [2] to regions where the diffusion approximation is invalid.
MS data were acquired using a data-dependent top-10 method dynamically choosing the most abundant precursor ions from the survey scan for HCD (higher energy collisional dissociation).
Data were acquired using a data-dependent 'top 15' method, dynamically choosing the most abundant precursor ions from the survey scan (335 1800 Th, 60000 resolution, target value 10).
To overcome this limitation, Shen proposed a novel weighted clustering method, Dynamically Weighted Clustering with Noise set (DWCN) that considers the same weight for all genes within one cluster.
