This paper has two parts. In the first part of the paper, we note the property that under the para perspective camera projection model of a camera, the set of 2D images produced by a 3D point can be optimally represented by two lines in the affine space (α−β space). The slope of these two lines are same, and we observe that this constraint is exactly the same as the epipolar line constraint. Us...

In equality-constrained optimization, a standard regularity assumption is often associated with feasible point methods, namely the gradients of constraints are linearly independent. In practice, the regularity assumption may be violated. To avoid such a singularity, we propose a new projection matrix, based on which a feasible point method for the continuous-time, equality-constrained optimizat...

.A beamspace adaptive beamformer implementation for the rejection of cable strum self-noise on passive sonar towed arrays is presented. The approach focuses on the implementation of a white noise gain constraint based on the scaled projection technique due to Cox et al. [IEEE Trans. on ASSP, Vol. 35 (10), Oct. 1987]. The objective is to balance the aggressive adaptation necessary for nulling th...

An uncertainty-oriented cross-scale topology optimization model with global stress reliability constraint, local displacement and micro-manufacturing control based on evidence theory is presented. The oriented to two-dimensional porous material structure, which concurrently designs the distribution of both macrostructure cell microstructure. During process, homogenization method used solve equi...

We present a formal data model for views in Object DataBase Systems (ODBS) as a transformation mechanism for databases. Our model relaxes the usual constraint where an object belongs to a single class while using a generalization of referent and enables a deterministic creation of derived objects with complex object identiiers. We deene an IQL-like language which enables the manipulation of suc...

—For the energy-constraint of nodes in wireless sensor networks, a sparse random projection algorithm based on minimum energy consumption tree (SRP-MET) is proposed in this paper. Compressive Sensing is applied to data compression. And it minimizes the number of source node by means of sparse random projection. The relay nodes is chosen on the principle of minimum energy consumption, and the s...

Reduction of a differential algebraic equation (DAE) system to an ordinary differential equation system (ODE) is an important step in solving the DAE numerically. When the ODE is obtained, an ODE solution technique can be used to obtain the final solution. In this paper we consider combining index reduction with projection onto the constraint manifold. We show that the reduction benefits from t...

We are dealing with solving planning problems by the GraphPlan algorithm. We concentrate on solving a problem of finding supporting actions for a goal. This problem arises as a sub-problem many times during search for a solution. We showed in the paper that the supports problem is NP-complete. In order to improve the solving process of the supports problems we proposed a new global consistency ...

Community detection is an important problem in unsupervised learning. This paper proposes to solve a projection matrix approximation with additional entrywise bounded constraint. Algorithmically, we introduce new differentiable convex penalty and derive alternating direction method of multipliers (ADMM) algorithm. Theoretically, establish the convergence properties proposed Numerical experiment...

Abstract The Tibetan Plateau (TP) is known as one of the sentinels global climate change. Substantial winter warming over TP will likely lead, directly or indirectly, to a series geological disasters such snow and glacial avalanches. Hence, for better adaptation change, it vital project future change in temperature TP. However, current state-of-the-art models involved sixth phase Coupled Model ...