- We propose global hybrid approximations of the exchange-correlation (XC) energy functional which reproduce well the modified fourth-order gradient expansion of the exchange energy in the semiclassical limit of many-electron neutral atoms and recover the full local density approximation (LDA) linear response. These XC functionals represent the ...
- Piecewise Linear Approximation Figure 4: 2D analogue of piecewise linear warping. A warped image is first subdivided by an adaptive grid of squares, here marked by solid lines. Then, each square vertex is warped into . Finally, pixels in the interior of each grid cell are warped by bilinearly interpolating the warped positions of the vertices.

?Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models ... cation of piecewise linear and quadratic bounds to the logistic-log-partition ... approximation to the marginal likelihood obtained by EP. log(s) log(s) Q20-PredErr 0 2 4 0 2 4-0.8-0.5-0.2 log(s) log(s)a prior-based tensor approximation (PTA) is proposed for hyperspectral anomaly detection, in which HSI is decomposed into a background tensor and an anomaly tensor. In the background tensor, a low-rank prior is incorporated into spectral dimension by truncated nuclear norm regularization, and a piecewise- smooth prior on spatial dimension can be embedded by a linear total variation-norm ...Download reggae mixPiecewiseLinearSegmentation is a python package to perform piece wise linear representation on Time Series data. It can be used for Segmenting Time Series using Online algorithms ( sliding window, bottom-up and top-down ). Given a time series T, produce the best representation using only K segments ( a piecewise linear representation, as ....

- Piecewise Bounds for Discrete-Data Latent Gaussian Models Mohammad Emtiyaz Khan Other Work • Variational bounds and approximation for binary, categorical and ordinal data. • Theoretical analysis of errors made by various bounds and derivation of sufficient conditions under which one bound is superior than the others.