A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PDE), uses hyper spheres to estimate data density. The radius of the hyper spheres is derived from information optimal sets. PDE leads to a tool for the visualization of probability density distributions of variables (PDEplot). F...

Nanoindentation involves probing a hard diamond tip into a material, where the load and the displacement experienced by the tip is recorded continuously. This load-displacement data is a direct function of material's innate stress-strain behavior. Thus, theoretically it is possible to extract mechanical properties of a material through nanoindentation. However, due to various nonlinearities ass...

We propose a new motion estimation algorithm and its block-matching criteria using low-resolution quantization. The proposed algorithm reduces both the huge computational cost of the full search algorithm and the performance degradation of the fast algorithms by matching the low-resolution images. Two search steps called the lowresolution search and the full-resolution search are employed. Simu...

For measuring technical efficiency relative to a log-linear technology, a generalized multiplicative directional distance function (GMDDF) is developed using the framework of multiplicative directional distance function (MDDF). Furthermore, a computational procedure is suggested for its estimation. The GMDDF serves as a comprehensive measure of efficiency in revealing Pareto-efficient targets a...

This paper presents a novel technique to correct for bias in a classical estimator using a learning approach. We apply a learned bias correction to a lidar-only motion estimation pipeline. Our technique trains a Gaussian process (GP) regression model using data with ground truth. The inputs to the model are high-level features derived from the geometry of the point-clouds, and the outputs are t...

Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model Today’s managers are very interested in predicting the future purchasing patterns of their customers, which can then serve as an input into “lifetime value” calculations. Among the models that provide such capabilities, the Pareto/NBD “Counting Your Customers” framework proposed by Schmittlein, Morrison, and Colombo (...

This paper describes a technique for the construction of 2D mosaics and which integrates feature tracking with a direct registration procedure. An initial alignment computed from a set of feature point correspondences supplied by the tracker is subsequently refined by means of a second registering step directly based on image contents. The direct registration technique is implemented as a two-s...