& Niv, Y. Orbitofrontal cortex as a cognitive map of task space. Neuron 81, 267–279 (2014). Article CAS PubMed PubMed Central Google Scholar Hutchinson, J. B. & Barrett, L. F. The power of predictions: an emerging paradigm for psychological research. Curr. Dir. Psychol. Sci. 28,...
augmentations (such as mask, shuffle) of the same image are related in the feature space, we use a pixel-level task to reconstruct molecular images from latent features and use an image-level task to maximize the correlation between the original sample and the mask sample in that space. ...
The experiments in this work will use siamese network methods for two reasons. First, the focus in modern object retrieval systems goes to feature vectors in latent space and less so to the Euclidean space where an auto-encoder setup performs reconstruction. Second, state-of-the-art non-contras...
The cost of each of these SDLs would be directly related to its scope: SDLs exploring a large phase space and using sophisticated assays are bound to be costly, whereas simpler SDLs can potentially be quite affordable. Perhaps, the most important impact of SDLs in science would come from the...
Studies show that infants develop a body schema from early on in life allowing them to form expectations about how their bodies look and where they are located in space [146]. From 3 months of age on, when presented with a real-time display of their own legs, infants look longer at an...
(RGB) colour space and JPG format. When the dataset is unbalanced between categories, the accuracy of deep learning in recognition will be severely affected. Therefore, considering the overfitting problem caused by too many parameters and too little data, SM-CycleGAN is used to generate images to...
Hafermann H, Patton K R and Werner P 2012 Improved estimators for the self-energy and vertex function in hybridization-expansion continuous-time quantum Monte Carlo simulations Phys. Rev. B 85 205106Hafermann H., Patton K., and Werner P., Improved estima- tors for the self-energy and ...
This is important for object recognition for example, as if we shift a car a small amount in an image space, it should still be recognizable as a car. Let us take an example of the most commonly used pooling layer, Max pooling. Max pooling summarizes output volume patches with the max ...
even for professional users and professional applications. Enough white space, content grouping, andspacing is necessary and essentialfor any user type. These design principles are core to readability, and ease of use. The visual queues are essential in aiding the user to remember the screen layout...
Modular robotic systems built of reconfigurable components offer an efficient and versatile alternative to traditional monolithic robots. However, as modular systems scale up, construction efficiency is compromised due to an increase in travel time and p