In the simulations of artificial manifolds, real low-light-level (LLL) and infrared image sets, the proposed method show remarkable performances in dimension reduction and classification.
Both methods show remarkable performances, but catRAPID discriminates positive and negative cases with higher accuracy (Cirillo et al., 2013b) and has been tested on long non-coding RNAs (Agostini et al., 2013).
Convolutional neural network (CNN) has shown remarkable performance in various visual recognition tasks.
We applied PrInt to a real application and the experimental results showed remarkable performance gains.
More recently, as convolutional neural networks (CNNs) have shown remarkable performance in image classification [17], researchers have applied CNNs to facilitate domain adaptation and obtained promising performance.
Compared with IMC-based, low-order or dynamic compensation anti-windup schemes, numerical example shows remarkable performance improvement of the proposed scheme for the saturated systems.
Evaluated based on real-world social media data, our prototype system shows remarkable performance improvement over a baseline ontology learning system and a context-free sentiment analysis system.
AlMCM-41/ZSM-5 (25, 10, 10) showed remarkable performance in the conversion of jatropha oil (99%) yielding 70% of bioliquid fuel with very high selectivity (61%) towards green gasoline.
Hence, the proposed PHR-based uplink power control scheme shows remarkable performance improvement in the HetNet environment, and the limited spectral and power resources in the 3GPP LTE-A uplink can be more efficiently utilized.
