Hence, age is one of the factors that decreases the accuracy of face recognition. Face aging, or age progression, is thus a significant challenge in face recognition methods. This paper presents the use of artificial neural network with model-agnostic meta-learning (ANN-MAML...
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preference rating while face-sensitive event-related potentials (N170 and late positive potential) were measured. In line with our hypotheses, the results showed an interaction preference for faces that were perceived as high (vs. low) extraverted and agreeable and low (vs. high) neurotic. In a...
8, and Posterior-Anterior Shift in Aging (PASA)9successfully addressed cognitive and neural changes occurring in aging but fell short of explaining variability between individuals or across different cognitive domains. In contrast, the Cognitive Reserve (CR) theory10and the revised Scaffolding Theory of...
Finally, to test for brain-behavior relations (H7 and H8), we extended the models for H1 and H2 by adding standardized amplitudes of N170 or LPP, respectively. For the models using prototypicality of faces, we included three-way interactions between standardized N170/LPP,facial features(highly ...
However, the kernel function of GWR models is relatively simple, and it is not easy to accurately model the complex stand geographical environment. For this reason, we propose a geographically neural-network-weighted regression (GNNWR) model, which is similar to the GWR models and uses the form...
As remedies to the above-mentioned loophole, this paper proposes novel passport-based DNN ownership verification schemes which are both robust to network modifications and resilient to ambiguity attacks. The gist of embedding digital passports is to design and train DNN models in a way such that, ...
DeepBurning: Automatic Generation of FPGA-based Learning Accelerators for the Neural Network Family.(Chinese Academy of Sciences) Hardware generator: Basic buliding blocks for neural networks, and address generation unit (RTL). Compiler: Dynamic control flow (configurations for different models), and da...
The cognitive control network: integrated cortical regions with dissociable functions. NeuroImage 37, 343–360 (2007). Article PubMed Google Scholar Demontis, D. et al. Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder. Nat. Genet. 51, 63–75...
We focus on the emergent refractory CCA, Nb–Mo–Ta, as the study system to demonstrate the neural network kinetics (NNK) scheme. When generating diffusion datasets for training the neural networks, we use atomic models consisting of 2000 atoms. To compute the vacancy diffusion energy barriers ...