One of the central problems in stereo matching (and other image registration tasks) is the selection of optimal window sizes for comparing image regions. This paper addresses this problem with some novel algorithms based on iteratively di using support at di erent disparity hypotheses, and locally controlling the amount of di usion based on the current quality of the disparity estimate. It also...

We propose two variable selection methods in multivariate linear regression with high-dimensional covariates. The first method uses a multiple correlation coefficient to fast reduce the dimension of relevant predictors moderate or low level. second extends univariate forward Wang [(2009). Forward for ultra-high dimensional screening. Journal American Statistical Association, 104(488), 1512–1524...

although several papers have studied no-idle scheduling problems, they all focus on flow shops, assuming one processor at each working stage. but, companies commonly extend to hybrid flow shops by duplicating machines in parallel in stages. this paper considers the problem of scheduling no-idle hybrid flow shops. a mixed integer linear programming model is first developed to mathematically form...

abstract: this paper represents a novel use of artificial neural networks in medical science. the proposed technique involves training a multi layer perceptron (mlp) (a kind of artificial neural network) with a bp learning algorithm to recognize a pattern for the diagnosing and prediction of five blood disorders, through the results of blood tests from h1 machine. the blood test parameters and ...

Our main result is an efficient construction of a hitting set generator against the class of polynomials of degree di in the i-th variable. The seed length of this generator is logD + O (̃logD). Here, logD = ∑ i log(di + 1) is a lower bound bound on the seed length of any hitting set generator against this class. Our construction is the first to achieve asymptotically optimal seed length for eve...

As members of doubly salient magnetless linear machines, variable flux reluctance (LVFR) and wound field reversal (LWFFR) machines inherit the merits conventional such as low cost, high adjustment capability reliability. Furthermore, like switched machine, they have a very simple compact long secondary, which are attractive for stroke applications. However, force is their major defect. To solve...