Exact(6)
These methods achieved an AUC of 0.76 and 1.0 for the cervix and head and neck cohorts, respectively [30].
These methods achieved recognition rates of 84.29% (bottleneck DNN) and 89.39% (DAE) compared with 78.73% for the conventional MSLP and 80.01% for MCLMS in an artificial reverberant environment.
These methods achieved accurate human region detection by combining visual information and sensor information such as kinect,d using a stereo-camera, or using a camera for which position is calibrated.
Recently, Bai et al. [3] defined the concept of eligible kernel functions which require four conditions and proposed primal-dual IPMs for linear optimization (LO) problems based on these functions, and some of these methods achieved the best known complexity results for both large- and small-update methods.
Results showed that these methods achieved a MAE of 18.5 19.7% on CB502 dataset.
These methods achieved an accuracy of 51 64 %, and the combination of such a method with a molecular profiling method such as ours is likely to improve the overall accuracy.
Similar(54)
Therefore, it has to take more time to optimize theses parameters, which is uneconomic; ③ these methods achieve the overall stability enhancement via the coordination control of all LPSSs.
These methods achieve a high accuracy with a very short calibration time estimated to about 10 clock cycles.
These methods achieve good performance but usually compute at high computational cost.
Although these methods achieve excellent results in real world video data, they omit any global spatiotemporal structure information among the video words.
These methods achieve very good performance compared to BSS but require a considerable bit overhead (at least 5 kbit/s per source according to [14]).
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