Let's say you want to query LangSplat for 'TV'. Then, you essentially will use a model to encode the text 'TV' to an embedding. Then, you will use this embedding and match it with the embeddings of the 3D Gaussian Map. Places on the map with high similarity indicate potential locati...
The Gaussian_Kde is the use of Gaussian kernels to represent a kernel-density estimate. The probability density function (PDF) of a random variable can be estimated in a non-parametric manner using kernel density estimation. Both single-variate and multi-variate data can be used with gaussian K...
We use a subcritical coupling constant [Math Processing Error]K=0.01K∗ and set [Math Processing Error]T=10. In all simulations, oscillator phases are initially distributed according to a bimodal Gaussian distribution with means [Math Processing Error]−π/4 (top half of the lattice), [...
The function lets you apply a moving Gaussian-weighted window to reduce local variations to aid in the accurate identification of mainlobes and nulls in the presence of noise and distortion. Waveform spectrum shaping The new shapespectrum function generates a waveform with a desired spectrum shape ...
If the parameter for feature anomalies is enabled (this depends on the chosen random parameters in step 2.1 ), it calls afunctionto inject feature anomalies into the edge features using the chosen statistical method —outside_confidence_interval()orscaled_gaussian_noise(). ...
Since living in cities is associated with an increased risk for mental disorders such as anxiety disorders, depression, and schizophrenia, it is essential to understand how exposure to urban and natural environments affects mental health and the brain. I
In sharp contrast to the great empirical success, GAN remains one of the least understood machine learning models in theory. How can the generator transfer random vectors from a non-structured spherical Gaussian distribution to highly-structured images? How can the generator be found sim...
impact on the results of the local model. The kernel options are available in theLocal Weighting Schemeparameter:GaussianandBisquare. To learn more about geographic weighting with kernels, seeHow Geographically Weighted Regression works. In MGWR, the weighting bandwidth varies across...
Spintronics in halide perovskites has drawn significant attention in recent years, due to their highly tunable spin-orbit fields and intriguing interplay with lattice symmetry. Here, we perform first-principles calculations to determine the spin relaxati
These problems have been solved in the last few years with the advent of new techniques based on Deep Convolutional Neural Networks (DCNN). The use of DCNNs has also improved the quality of the results while reducing the time for pseudo-CT synthesis. According to our knowledge, the first ...