搜索结果: 1-15 共查到“Random Fields”相关记录52条 . 查询时间(0.062 秒)
SEGMENTATION OF LARGE UNSTRUCTURED POINT CLOUDS USING OCTREE-BASED REGION GROWING AND CONDITIONAL RANDOM FIELDS
Segmentation Region Growing Conditional Random Fields Point Clouds
2018/3/5
Point cloud segmentation is a crucial step in scene understanding and interpretation. The goal is to decompose the initial data into sets of workable clusters with similar properties. Additionally, it...
Markov Random Fields (MRF) - Based Texture Segmentation for Road Detection
Mapping Photogrammetry Vision Fusion Identification Monitoring Real-time Platforms
2015/12/9
Traffic observation from airplane platforms using digital cameras is a fairly new application of Video Image Detection Systems (VIDS). These systems are also particularly interesting for observations ...
Interpretation Terrestrial Images of Urban Scenes Using Discriminative Random Fields
Markov random fi eld parameter learning pseudo-likelihood man-made structure detection
2015/12/4
We investigate Discriminative Random Fields (DRF) which provide a principled approach for combining local discriminative classifiers that allow the use of arbitrary overlapping features, with ad...
Central limit theorems and uniform laws of large numbers for arrays of random fields
Random field Spatial process Central limit theorem Uniform law of large numbers Law of large numbers
2015/9/24
Over the last decades, spatial-interaction models have been increasingly used in economics. However, the development of a sufficiently general asymptotic theory for nonlinear spatial models has been h...
REGULARIZATION, ADAPTATION, AND NON-INDEPENDENT FEATURES IMPROVE HIDDEN CONDITIONAL RANDOM FIELDS FOR PHONE CLASSIFICATION
Hidden Conditional Random Fields Speech Recognition Phone Classification Maximum a Posteriori
2015/6/12
We show a number of improvements in the use of Hidden Conditional Random Fields (HCRFs) for phone classification on the TIMIT and Switchboard corpora. We first show that the use of regularization effe...
A Conversational Movie Search System Based on Conditional Random Fields
conditional random fields spoken dialogue system
2015/3/9
Online streaming companies such as Netflix have become
dominant in the media distribution sector. However, such media
delivery services often support very rudimentary search,
especially for natu...
A STEP TOWARDS SEMANTIC-BASED BUILDING RECONSTRUCTION USING MARKOV-RANDOM-FIELDS
Building reconstruction Digital surface models Markov-Random-Fields Topology
2014/12/31
In this paper we describe a new concept for the reconstruction of buildings. In contrast to most of the published approaches, we link the reconstruction process with the building interpretation. With ...
THE DECISION OF THE OPTIMAL PARAMETERS IN MARKOV RANDOM FIELDS OF IMAGES BY GENETIC ALGORITHM
Genetic algorithm Markov Random Field Parameter optimum Texture classification
2014/12/31
This paper introduces the principle of genetic algorithm and the basic method of solving Markov Random Field parameters. Focusing on the shortcoming in present methods, a new method based on genetic a...
A Conversational Movie Search System Based on Conditional Random Fields
conditional random fields spoken dialogue system
2014/11/27
Online streaming companies such as Netflix have become dominant in the media distribution sector. However, such media delivery services often support very rudimentary search, especially for natural la...
Efficient Prediction Designs for Random Fields
optimal design pareto front empirical kriging gaussian process models
2013/6/14
For estimation and predictions of random fields it is increasingly acknowledged that the kriging variance may be a poor representative of true uncertainty. Experimental designs based on more elaborate...
Aggregation of autoregressive random fields and anisotropic long memory
Aggregation autoregressive random fields anisotropic long memory
2013/4/27
We introduce the notion of anisotropic long memory for random fields on $\mathbb{Z}^2$ whose partial sums on incommensurate rectangles with sides growing at different rates O(n) and $O(n^{H_1/H_2})$, ...
Subset Selection for Gaussian Markov Random Fields
Subset Selection Gaussian Markov Random Fields
2012/11/26
Given a Gaussian Markov random field, we consider the problem of selecting a subset of variables to observe which minimizes the total expected squared prediction error of the unobserved variables. We ...
Adaptive estimation in regression and complexity of approximation of random fields
regression and complexity approximation random fields
2012/9/17
In this thesis we study adaptive nonparametric regression with noise misspecifi-cation and the complexity of approximation of random fields in dependence of the dimension.
First, we consider the prob...
Polar sets of anisotropic Gaussian random fields
Anisotropic Gaussian fields Hitting probabilities Polar sets Hausdorff dimension European option Jump diffusion Calibration
2012/9/18
This paper studies polar sets of anisotropic Gaussian random fields,i.e. sets which a Gaussian random field does not hit almost surely. The main assumptions are that the eigenvalues of the covariance ...
3D CLASSIFICATION OF CROSSROADS FROM MULTIPLE AERIAL IMAGES USING MARKOV RANDOM FIELDS
Markov Random Fields Contextual Classification Crossroads
2014/4/28
The precise classification and reconstruction of crossroads from multiple aerial images is a challenging problem in remote sensing. We apply the Markov Random Fields (MRF) approach to this problem, a ...