[PDF] Top 20 Robust Estimation of Parameters for Lucas-Kanade Algorithm
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Robust Estimation of Parameters for Lucas-Kanade Algorithm
... Robust Estimation of Parameters for Lucas-Kanade Algorithm Yih-Lon Lin 1 Abstract The object tracking problem is an important research topic in computer ...vision. ... See full document
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Symmetric regression quantile and its application to robust estimation for the nonlinear regression model
... terms of percentage are useful as indices for identifying ...class of symmetric quantiles for estimating unknown nonlinear regression conditional ...33) for small or large values ... See full document
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A robust training algorithm for adverse speech recognition
... better for a given robust speech recognition method. The REST algorithm is an iterative training procedure that sequentially optimizes the following three operations: parameter estimation ... See full document
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A robust evolutionary algorithm for global optimization
... pair of father and child the individual with the better objective value sur- ...used. For the probability ð1 P ps Þ, family selection is still con- ...effects of greediness on this selection, the ... See full document
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A combined evolutionary algorithm for real parameters optimization
... Thus, the population size is invariant(2"P individuals). The original real-code GAS use blend crossover and random mutation, so they lack fine local tuning capabili[r] ... See full document
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A robust evolutionary algorithm for training neural networks
... none of these three types of original evolutionary algorithms is very efficient, many modifications have been proposed to improve the solution quality, and to speed up ...optimality of the genetic ... See full document
17
Robust determination of earthquake source parameters and mantle attenuation
... frequency of the source and the attenuation of the ...two parameters is difficult in the presence of noise unless the number of unknowns is sufficiently ...solve for Q on a ... See full document
17
Expectation and maximization algorithm for estimating parameters of a simple partial erasure model
... variance of versus the number of data ...mator of the model parameters is asymptotically efficient. For simplicity, we shall only show the error variance of each re- duction ... See full document
5
Robust Training Sequence Design for Spatially Correlated MIMO Channel Estimation
... design of SIT sequences that are robust toward spatial correlation un- ...allows for accurate and robust channel estimation without a priori knowledge about the channel distribution ... See full document
13
Robust Estimation and Control of Tire Traction Forces
... Robust Estimation and Control of Tire Traction Forces Tesheng Hsiao, Member, IEEE Abstract—Due to increasingly demanding requirements for driving safety, precise and robust control ... See full document
6
A hybrid immune-estimation distribution of algorithm for mining thyroid gland data
... distribution of selected individuals in search space and models the probability distri- butions to generate the next ...gap of EDAs is lock of diversity between ...concepts of IAs are ... See full document
6
Multi-pass algorithm of motion estimation in video encoding for generic GPU
... We the integer-pel MVs and both the reference and current frames take MBrow x MBCo1 pixels as a macroblock (MB) and let as inputs to find the smallest SADs and the corresponding MVs the [r] ... See full document
4
Robust error concealment algorithm for MPEG-4 with the aid of fuzzy theory
... MPEG-4 standard has not such limitation and it supports an ob- ject-based representation by allowing the coding of the shape information of arbitrarily shaped video o[r] ... See full document
2
A Robust Algorithm for Total Variation Deblurring and Denoising
... denoising algorithm for the total variation based image ...The algorithm consists of an efficient solver for the linearized system and an acceleration strategy for the outer ... See full document
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A robust evolutionary algorithm for optical thin-film designs
... For our FCEA, the decreasing- based mutation with large initial step sizes is the global search strategy; the self-adaptive mutations with family competition procedure and replacemen[r] ... See full document
8
Fast Algorithm for Robust Template Matching with M-estimators
... performances of our ...pyramids of the images contained in the database are constructed offline for this application, the pyramid-construction time for the images contained the database is not ... See full document
30
Alternating coordinates minimization algorithm for estimating parameters of partial erasure plus transition shift model
... identification of model parameters of a high- density recording channel is usually difficult and ...(ACM) algorithm for estimating parameters of a partial erasure plus ... See full document
3
The Optimal Sampling Period of a Fingerprint Positioning Algorithm for Vehicle Speed Estimation
... Different parameters can be adopted using the VisSim tool, includ- ing variations in traffic flow, vehicle speed, freeway mode, number of roads, road segment length, vehicle type, and simulation ... See full document
13
Development of Kriging-approximation simulated annealing optimization algorithm for parameters calibration of porous media flow model
... those of previous studies, the significant contribution of this research includes the development of both the NET-PFS simulation model/framework and an innovative KASA optimization ...butions ... See full document
12
A variable step-size sign algorithm for channel estimation
... performance of the family of LMS algorithms to examine the step size is using the squared norm of the sign gradient vector to enhance the dynamic range of the step size between the maximum and ... See full document
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