recurrent neural networks propagate activation outputs in both directions. Input to output, output to input [17]. As a result, neural network architectures include loops that act as "memory states" for neurons. An RNN "remembers" what it has learned over time, or maintains its state...
Our work proposes acorpus-basedNLG method. Corpus-based methods aim at training text generation rules automatically from text examples of the desired text generator output. An example of corpus-based method applied to text generation in dialogue is the work in [20]. The cited work proposes a ...
The transistor presented in this paper builds on previous work carried out to develop microfluidic valve systems for automatic control (Extended Data Table2). One strategy used by some microfluidic systems to achieve this is to outsource the automatic control to external electronic systems, and interf...
Although, as Fitzgibbon stated, "the quality of the separation is highly dependent on the type of contamination, the degree of contamination, and the choice of BSS algorithm" [9], a thorough test of various ICA methods is out of the scope of this paper. The second kind of error, the ...
‘snowflakes’ generator in the imgaug routines for generating weather effects, tuned to look—by eye—to a similar dot size and density to the real laser dot pattern. The network was trained by RMSProp (α= 0.99,ε= 10−8) with an initial learning rate of 0.00025. During training, the...
Input: security parameter k∈ prime order pr, g is been the generator of G Output: secret key sk∈Zp, public key pk∈G 1: Chooses a random value (sk) that represents the secret key depending on the security parameter k as input. 2: Calculates the public key pk as pk=gsk 3: return...
In order to extract valuable components that are distributed across both the time and frequency axes, a comprehensive method is necessary. In this paper, we introduced a novel method for automatically estimating the IF and GD of a signal in the TF domain. In order to define TFD regions ...
Table 1. Comparison between different studies. Our paper focuses on a cancer case study where some researchers stated the importance of generating knowledge graphs in oncology research [53]. Further research made efforts to build cancer-related knowledge graphs, but they are either building it manu...
- 《IEEE Transactions on Pattern Analysis & Machine Intelligence》 被引量: 826发表: 2002年 Automatic Retinal Layer Segmentation of OCT Images With Central Serous Retinopathy In this paper, an automatic method is reported for simultaneously segmenting layers and fluid in 3-D OCT retinal images of ...
generator proposed in this paper is represented in Figure1. The objective is to assign a score to every shot and then select those shots with the highest score in order to build up the final summary. To qualify for scoring, shots are passed through an analysis bank that computes several ...