نتایج جستجو برای: Least Square Approach
تعداد نتایج: 1730472 فیلتر نتایج به سال:
Least square matching (LSM) is one of the most accurate image matching methods in photogrammetry and remote sensing. The main disadvantage of the LSM is its high computational complexity due to large size of observation equations. To address this problem, in this paper a novel method, called fast least square matching (FLSM) is being presented. The main idea of the proposed FLSM is decreasing t...
It was recently observed that chiral two-body interactions can be efficiently represented using matrix factorization techniques such as the singular value decomposition. However, exploitation of these low-rank structures in a few- or many-body framework is nontrivial and requires reformulations explicitly utilize decomposition format. In this work, we present general least-square approach appli...
abstract: in the paper of black and scholes (1973) a closed form solution for the price of a european option is derived . as extension to the black and scholes model with constant volatility, option pricing model with time varying volatility have been suggested within the frame work of generalized autoregressive conditional heteroskedasticity (garch) . these processes can explain a number of em...
We consider the problem of ranking $N$ objects starting from a set noisy pairwise comparisons provided by crowd equal workers. assume that are endowed with intrinsic qualities and probability which an object is preferred to another depends only on difference between two competitors. propose class non-adaptive algorithms rely least-squares optimization criterion for estimation qualities. Such sh...
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