This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...
Douglas Moore, John Stevens, Scott Lundberg, Bruce...
We study recent developments in quantum computing (QC) testing and fault tolerance (FT) techniques and discuss several attempts to formalize quantum logic fault models. We illustr...
David Y. Feinstein, V. S. S. Nair, Mitchell A. Tho...
Speech recognition techniques have been developed dramatically in recent years. Nevertheless, errors caused by environmental noise are still a serious problem in recognition. Empl...
Abstract— The MUSIC algorithm (MUltiple SIgnal Classification) is a well-known high-resolution method to sound source localization. However, as it is essentially narrowband, sev...
We propose a new robust estimator for camera pose estimation based on a recently developed nonlinear mean shift algorithm. This allows us to treat pose estimation as a clustering ...