Deep Unsupervised Domain Adaptation with Time Series Sensor Data: A Survey.

Sensors are devices that output signals for sensing physical phenomena and are widely used in all aspects of our social production activities. The continuous recording of physical parameters allows effective analysis of the operational status of the monitored system and prediction of unknown risks. Thanks to the development of deep learning, the ability to analyze temporal signals collected by sensors has been greatly improved.

Self-calibration of catadioptric camera with two planar mirrors from silhouettes.

If an object is interreflected between two planar mirrors, we may take an image containing both the object and its multiple reflections, i.e., simultaneously imaging multiple views of an object by a single pinhole camera.

A fast algorithm for multidimensional ellipsoid-specific fitting by minimizing a new defined vector norm of residuals using semidefinite programming.

A quadratic surface in n-dimensional space is defined as the locus of zeros of a quadratic polynomial. The quadratic polynomial may be compactly written in notation by an (n+1)-vector and a real symmetric matrix of order n+1, where the vector represents homogenous coordinates of an n-D point, and the symmetric matrix is constructed from the quadratic coefficients. If an n-D quadratic surface is an n-D ellipsoid, the leading n × n principal submatrix of the symmetric matrix would be positive or opposite definite.

Geometric interpretations of the relation between the image of the absolute conic and sphere images.

A spherical object has been introduced into camera calibration for several years through utilizing the properties of an image conic, which is the projection of the occluding contour of a sphere in the perspective image. However, in literature, only an algebraic interpretation was presented for the relation between the image of the absolute conic and sphere images. In this paper, we propose two geometric interpretations of this relation and two novel camera calibration methods using sphere images are derived from these geometric interpretations.

Catadioptric camera calibration using geometric invariants.

Central catadioptric cameras are imaging devices that use mirrors to enhance the field of view while preserving a single effective viewpoint. In this paper, we propose a novel method for the calibration of central catadioptric cameras using geometric invariants. Lines and spheres in space are all projected into conics in the catadioptric image plane.

Situation analysis of prenatal diagnosis technology utilization in China: current situation, main issues, and policy implications.

Objectives: The purpose of this study is to describe the situation with the distribution and utilization of prenatal diagnosis technology in China, to identify some important barriers to prenatal diagnosis use, and to suggest changes to improve the present situation.

Methods: The study uses cross-sectional surveys to capture quantitative data from both providers and consumers. Qualitative information based on focus group discussions is also presented.