By random feature approximation and robust loss function, the learning problems are first transformed into a group of linear feedback control problems with sparse discrete large-scale algebraic Riccati equations (DARE). Then, with the solutions of the DAREs, two promising algorithms are developed to...
We propose a new robust scale estimator, the pairwise mean scale estimator P n , which in its most basic form is the interquartile range of the pairwise means. The use of pairwise means leads to a surprisingly high efficiency across many distributions of practical interest. The properties of...
A robust registration of 3D-point data and a triangle mesh of the corresponding 3D-structure is presented, where the acquired 3D-point data may be noisy, may include outliers and may have wrong scale. Furthermore, in this approach it is not required to have a good initial match so the 3D...
An essential prerequisite for comprehensive medical image analysis is the robust and fast detection of anatomical structures in the human body. To this point, machine learning techniques are most often applied to address this problem, exploiting large annotated image databases to estimate parametric model...
Many real-world systems can be described by scale-free networks with power-law degree distributions. Scale-free networks show a “robust yet fragile” feature due to their heterogeneous degree distributions. We propose to enhance the structural robustnes
Computer vision tasks often require the robust fit of a model to some data. In a robust fit, two major steps should be taken: i) robustly estimate the parameters of a model, and ii) differentiate inliers from outliers. We propose a new estimator called A
Robust Optimization of Large-Scale Systems: An Emerging New Technology A generalized interior point algorithm for convex objective functions has beendeveloped and applied to various large scale problems. (AN). JM Mulvey,R Vanderbei - 《Operations Research the Journal of the Operations Research Society...
We present a robust FFT-based approach to scale-invariant image registration. Our method relies on FFT-based correlation twice: once in the log-polar Fourier domain to estimate the scaling and rotation and once in the spatial domain to recover the residual translation. Previous methods based on ...
Robust Speech Recognition via Large-Scale Weak Supervision Resources Readme License MIT license Activity Custom properties Stars 76.1kstars Watchers 617watching Forks 9.1kforks Report repository Releases12 v20240930Latest Sep 30, 2024 + 11 releases ...
A useful technique for determining a linear feedback control law which stabilizes an uncertain systems is the Riccati equation approach of Schmitendorf (1988) He consider systems with time-varying uncertainty in the system matrix and the input connection matrix. We extend this technique to include ...