نتایج جستجو برای: local park weighted linear combination

تعداد نتایج: 1437457  

2008
Shih-Fu Chang Junfeng He Yu-Gang Jiang Elie El Khoury Chong-Wah Ngo Akira Yanagawa Eric Zavesky

 A_CU-run6: local feature alone – average fusion of 3 SVM classification results for each concept using various feature representation choices.  A_CU-run5: linear weighted fusion of A_CU-run6 with two grid-based global features (color moment and wavelet texture).  A_CU-run4: linear weighted fusion of A_CU-run5 with a SVM classification result using detection scores of CU-VIREO374 as features...

2008
Eva Boj Pedro Delicado Josep Fortiana

We consider the problem of nonparametrically predicting a scalar response variable y from a functional predictor χ. We have n observations (χi, yi) and we assign a weight wi ∝ K (d(χ, χi)/h) to each χi, where d( · , · ) is a semi-metric, K is a kernel function and h is the bandwidth. Then we fit a Weighted (Linear) Distance-Based Regression, where the weights are as above and the distances are ...

2013
Simily Joseph Kannan Balakrishnan

Speckle noise formed as a result of the coherent nature of ultrasound imaging affects the lesion detectability. We have proposed a new weighted linear filtering approach using Local Binary Patterns (LBP) for reducing the speckle noise in ultrasound images. The new filter achieves good results in reducing the noise without affecting the image content. The performance of the proposed filter has b...

2001
ZONGWU CAI

In this article we study nonparametric estimation of regression function by using the weighted Nadaraya-Watson approach. We establish the asymptotic normality and weak consistency of the resulting estimator for-mixing time series at both boundary and interior points, and we show that the estimator preserves the bias, variance, and more importantly, automatic good boundary behavior properties of...

Removing local communities from lands that they have been exploiting for generations without consultation or adequate compensation can result in retaliation and hostile attitudes toward the objectives of the protected areas.Therefore, this study examines the application of willingness to participate of local communities in the conservation of national parks. For the empirical observations, Iran...

Journal: :Pattern Recognition Letters 2012
Jiangye Yuan DeLiang Wang Rongxing Li

We present a novel method for segmenting images with texture and nontexture regions. Local spectral histograms are feature vectors consisting of histograms of chosen filter responses, which capture both texture and nontexture information. Based on the observation that the local spectral histogram of a pixel location can be approximated through a linear combination of the representative features...

Journal: :Vision research 1993
M J Young M S Landy L T Maloney

We examined how depth information from two different cue types (object motion and texture gradient) is integrated into a single estimate in human vision. Two critical assumptions of a recent model of depth cue combination (termed modified weak fusion) were tested. The first assumption is that the overall depth estimate is a weighted linear combination of the estimates derived from the individua...

H. Zavieh, S. H. Nasseri,

In practice, there are many problems which decision parameters are fuzzy numbers, and some kind of this problems are formulated as either possibilitic programming or multi-objective programming methods. In this paper, we consider a multi-objective programming problem with fuzzy data in constraints and introduce a new approach for solving these problems base on a combination of the multi-objecti...

2011
Russell W Bessette Randy L Carter

BACKGROUND Controversy exists in predicting costly hospitalization in patients with chronic kidney disease and co-morbid conditions. We therefore tested associations between serum chemistry values and the occurrence of in-patient hospital costs over a thirteen month study period. Secondarily, we derived a linear combination of variables to estimate probability of such occurrences in any patient...

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