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A Fully Polynomial Approximation Scheme for Approximating a Sum of Random Variables
Threshold probability Tail probability Approximate counting Counting knapsack FPTAS
2016/1/22
Given n independent integer-valued random variables X 1 , X 2 ,..., X n and an integer C, we study the fundamental problem of computing the probability that the sum X = X 1 + X 2 +···+ X n is at most ...
Approximating the Expected Values for Combinatorial Optimization Problems over Stochastic Points
Approximating Expected Values Combinatorial Optimization Problems Stochastic Points
2016/1/22
We consider the stochastic geometry model where the location of each node is a random point in a given metric space,or the existence of each node is uncertain. We study the problem-s of computing the ...
Approximating LIDAR Ground Elevation Data by Higher-Order Tensor-Product B-Splines
DEM/DTM LIDAR Surface Modelling Reconstruction GIS
2015/12/8
We consider, in this paper, the problem of reconstructing the surface from LIDAR ground elevations. We reconstruct the surface by first rotating the LIDAR scan-lines so that they are parallel to the Y...
APPROXIMATING PHOTON RECOLLISION PROBABILITY IN VEGETATION CANOPIES
vegetation canopies predicting remotely s
2015/9/8
To be applicable to a wide variety of biomes, algorithms for predicting remotely sensed signatures of forests
have to rely on physically-based principles. These physically-based models are able to ca...
Approximating Inference on Complex Motion Models Using Multi-model Particle Filter
Complex Motion Models Multi-model Particle Filter
2010/12/14
Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual tracking community. One remained diffi...