We show how to recover the position and orientation of a pair of known coplanar conics from a single perspective image. We describe and compare a number of methods for determining this relationship. One uses a simple four point back projection model, and the other utilizing transformation invariants. These results can be extended in a number of ways. Firstly, they can be applied to arbitrary pl...

This paper presents an experiment dealing with the sensorimotor relation between auditory perception and graphical movements. Subjects were asked to synchronize their gestures with synthetic friction sounds. Some geometrical and dynamical parameters of the motor productions are analyzed according to the different mappings. This preliminary experiment provides a formal framework for a wider stud...

Di↵erentially Private Verification of Predictions from Synthetic Data by Haoyang Yu Program in Statistical and Economic Modeling Duke University

We propose using the forward propagated source wave to create synthetic receiver data on the surfaces of the computational domain where real receiver data is not available as a means of exploiting known information about reflector locations in Reverse Time Migration. The inclusion of synthetic boundary data can make true amplitude imaging possible, and reduce the artifacts associated with the i...

In this work we introduce a very flexible research tool for processing Interferometric Synthetic Aperture Radar (InSAR) data. The software, called SARPROZ, is able to perform different multi-temporal analysis like Permanent Scatterers (PS), Quasi-PS (QPS) and much more. SARPROZ has been intensively used for analyzing several test-sites in China with different spaceborne SAR data. Here we show r...

We give a new proof that the completion of the Weil-Petersson metric on Teichmüller space is Gromov-hyperbolic if the surface is a five-times punctured sphere or a twice-punctured torus. Our methods make use of the synthetic geometry of the Weil-Petersson metric.

Data imbalance occurs when the number of patterns from a class is much larger than that from the other class. It often degenerates the classification performance. In this paper, we propose an Ensemble of Under-Sampled SVMs or EUS SVMs. We applied the proposed method to two synthetic and six real data sets and we found that it outperformed other methods, especially when the number of patterns be...

In this paper is considered the segmentation of meshes into rigid components given temporal sequences of deforming meshes. We propose a fully automatic approach that identifies model parts that consistently move rigidly over time. This approach can handle meshes independently reconstructed at each time instant. It allows therefore for sequences of meshes with varying connectivities as well as v...

We propose two new improvements for bagging methods on evolving data streams. Recently, two new variants of Bagging were proposed: ADWIN Bagging and Adaptive-Size Hoeffding Tree (ASHT) Bagging. ASHT Bagging uses trees of different sizes, and ADWIN Bagging uses ADWIN as a change detector to decide when to discard underperforming ensemble members. We improve ADWIN Bagging using Hoeffding Adaptive...