搜索结果: 1-12 共查到“nearest neighbour”相关记录12条 . 查询时间(0.046 秒)
3D NEAREST NEIGHBOUR SEARCH USING A CLUSTERED HIERARCHICAL TREE STRUCTURE
Nearest Neighbour 3D Data Clustering 3D Spatial Database
2016/7/8
Locating and analysing the location of new stores or outlets is one of the common issues facing retailers and franchisers. This is due to assure that new opening stores are at their strategic location...
Nearest Neighbour Classification on Laser Point Clouds to Gain Object Structures from Buildings
Laser data point cloud classification nearest neighbour covariance eigenvalues
2016/1/25
The application of three dimensional building models has become more and more important for urban planning, enhanced navigation
and visualization of touristy or historic objects. 3D models can be use...
QUENCHED LIMIT THEOREMS FOR NEAREST NEIGHBOUR RANDOM WALKS IN 1D RANDOM ENVIRONMENT
NEIGHBOUR RANDOM WALKS IMIT THEOREMS
2015/9/29
It is well known that random walks in one dimensional random environment can exhibit subdiffusive behavior due
to presence of traps. In this paper we show that the passage times
of diffe...
TROPICAL FOREST BIOMASS ESTIMATION AND MAPPING USING K-NEAREST NEIGHBOUR (KNN) METHOD
K-nearest Neighbour Forest Biomass Landsat Map
2015/8/28
Estimation and mapping of tropical forest biomass is important for periodic carbon accounting, as tropical deforestation is one of the
major sources of terrestrial carbon emission in the recent decad...
Standard nearest-neighbour discretizations of Klein–Gordon models cannot preserve both energy and linear momentum
Discrete nonlinear klein GeDengBo equation the standard discrete linear momentum
2014/12/25
We consider nonlinear Klein–Gordon wave equations and illustrate that standard discretizations thereof (involving nearest neighbours) may preserve either standardly defined linear momentum or standard...
Efficient Estimation of the number of neighbours in Probabilistic K Nearest Neighbour Classification
Bayesian Inference Model Averaging K-free model order estimation
2013/6/14
Probabilistic k-nearest neighbour (PKNN) classification has been introduced to improve the performance of original k-nearest neighbour (KNN) classification algorithm by explicitly modelling uncertaint...
K-Nearest Neighbour algorithm coupled with logistic regression in medical case-based reasoning systems. Application to prediction of access to the renal transplant waiting list in Brittany
Case-based Reasoning systems logistic models similarity measures k-nearest neighbors algorithms classi-fication
2013/4/28
Introduction. Case Based Reasoning (CBR) is an emerg- ing decision making paradigm in medical research where new cases are solved relying on previously solved similar cases. Usually, a database of sol...
Nearest Neighbour Decoding with Pilot-Assisted Channel Estimation for Fading Multiple-Access Channels
Pilot-Assisted Channel Estimation Fading Multiple-Access Channels Information Theory
2011/8/30
Abstract: We study a noncoherent multiple-input multiple-output (MIMO) fading multiple-access channel (MAC), where the transmitters and the receiver are aware of the statistics of the fading, but not ...
Nearest neighbour models for local and regional avalanche forecasting
Nearest neighbour models local and regional avalanche forecasting
2009/12/9
This paper presents two avalanche forecasting applications NXD2000 and NXD-REG which were developed at the Swiss Federal Institute for Snow and Avalanche Re-search (SLF). Even both are based on the ne...
Flash-flood forecasting by means of neural networks and nearest neighbour approach–a comparative study
Flash-flood forecasting neural networks nearest neighbour approach
2009/11/9
In this paper, Multi-Layer Perceptron and Radial-Basis Function Neural Networks, along with the Nearest Neighbour approach and linear regression are utilized for flash-flood forecasting in the mountai...
Simulation of extreme precipitation in the Rhine basin by nearest-neighbour resampling
Rhine nonparametric nearest-neighbour resampling technique
2009/6/5
The use of the nonparametric nearest-neighbour resampling technique is studied for generating time series of daily rainfall and temperature for seven stations in the German part of the Rhine basin. Th...
An Efficient Data Dissemination Scheme for Nearest Neighbour Query Processing
An Efficient Data Dissemination Scheme Nearest Neighbour Query Processing
2014/3/12
Location dependent information services (LDISs) produce answers to queries according to the location of the client issuing the query. In LDIS, techniques such as caching, prefetching and broadcasting ...