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IDENTIFICATION OF SIMILARITIES AND PREDICTION OF UNKNOWN FEATURES IN AN URBAN STREET NETWORK
urban traffic traffic analysis machine learning clustering
2018/11/9
Accurate predictions of the characteristics of urban streets in particular with respect to the typical traffic situations are crucial for numerous real world applications such as navigation, schedulin...
UAV-BASED DETECTION OF UNKNOWN RADIOACTIVE BIOMASS DEPOSITS IN CHERNOBYL’S EXCLUSION ZONE
UAV LiDAR gamma spectrometry 3D vegetation mapping biomass machine learning
2018/6/4
Shortly after the explosion of the Chernobyl nuclear power plant (ChNPP) in 1986, radioactive fall-out and contaminated trees (socalled Red Forest) were buried in the Chernobyl Exclusion Zone (ChEZ). ...
COUPLING REGULAR TESSELLATION WITH RJMCMC ALGORITHM TO SEGMENT SAR IMAGE WITH UNKNOWN NUMBER OF CLASSES
SAR Image Segmentation Segmentation with Unknown Number of Classes Regular Tessellation RJMCMC Algorithm
2016/11/23
This paper presents a Synthetic Aperture Radar (SAR) image segmentation approach with unknown number of classes, which is based on regular tessellation and Reversible Jump Markov Chain Monte Carlo (RJ...
Static program analysis techniques cannot know certain values,such as the value of user input or network state, at analysis time. While such unknown values need to be treated as non-deterministic choi...
Estimation of Unknown Height with Artificial Neural Network on Digital Terrain Model
Artifcial Neural Network DEM/DTM Modelling Prediction Accuracy
2015/12/8
In Digital Terrain Models (DTM) interpolation is actually a surface fitting problem. For the estimation of heights of points with known X-Y coordinates there are many interpolation methods. Besides, t...
Adapting to Unknown Smoothness via Wavelet Shrinkage
Minimax Decision theory Stein's Unbiased Estimate of Risk
2015/8/20
We attempt to recover a function of unknown smoothness from noisy, sampled
data. We introduce a procedure, SureShrink, which suppresses noise by thresholding
the empirical wavelet coecients. The th...
上海交通大学机械与动力工程学院工业工程与管理系生产计划与控制课件Chapter5lecture3 Inventory Control Subject to Unknown Demand
上海交通大学机械与动力工程学院工业工程与管理系 生产计划与控制 课件 Chapter5lecture3 Inventory Control Subject to Unknown Demand
2014/5/28
上海交通大学机械与动力工程学院工业工程与管理系生产计划与控制课件Chapter5lecture3 Inventory Control Subject to Unknown Demand。
上海交通大学机械与动力工程学院工业工程与管理系生产计划与控制课件Chapter10 Inventory Control Subject to Unknown Demand
上海交通大学机械与动力工程学院工业工程与管理系 生产计划与控制 课件 Chapter10 Inventory Control Subject to Unknown Demand
2014/5/28
上海交通大学机械与动力工程学院工业工程与管理系生产计划与控制课件Chapter10 Inventory Control Subject to Unknown Demand。
A State Estimation Method for Sound Environment System with Unknown Observation Mechanism by Introducing Fuzzy Inference
State Estimation Sound Environment System Unknown Observation Mechanism Fuzzy Inference
2013/1/28
The observed phenomena in real sound environment system often contain uncertainty such as the additional external noise with unknown statistics. Furthermore, there is complex nonlinear relationship be...
THE DIRECT REGISTRATION OF LIDAR POINT CLOUDS AND HIGH RESOLUTION IMAGE BASED ON LINEAR FEATURE BY INTRODUCING AN UNKNOWN PARAMETER
Airborne LiDAR Linear Feature Registration
2014/4/28
The registration between optical images and point clouds is the first task when the combination of these two datasets is concerned.
Due to the discrete nature of the point clouds, and the 2D-3D tran...
AUTONOMOUS UNMANNED HELICOPTER SYSTEM FOR REMOTE SENSING MISSIONS IN UNKNOWN ENVIRONMENTS
Unmanned Aircraft Systems Vegetation Monitoring Infrastructure Inspection
2014/5/9
This paper presents the design of an autonomous unmanned helicopter system for low-altitude remote sensing. The proposed concepts
and methods are generic and not limited to a specific helicopte...
Adaptive Fuzzy Control for Unknown Nonlinear Systems with Perturbed Dead-Zone Inputs
Adaptive control fuzzy systems dead-zone
2009/9/9
Adaptive fuzzy control is used to control a class of unknown nonlinear systems with perturbed dead-zone inputs in this paper. A new dead-zone actuator model which contains time-varying and perturbed a...
On the MMSE Criterion for Space-Time Coded Signaling in the Presence of Unknown Interference
MMSE Criterion Space-Time Coded Signaling Unknown Interference
2009/9/4
The primary goal of this letter is to provide comparative assessments to the two cases where different criteria are used in joint over antenna minimum mean squared error (JA-MMSE) spatial filtering fo...
Variational Principle for Determining the Unknown Wetted Surface of a Planing Ship in Periodic Motion
Plaining Plate Unknown Wetted Length Radiation Problem Adjoint Variational Principle Reverse Flow
2009/5/12
A variational principle is presented to solve the boundary-value problem with the unknown wetted surface of a planing ship in periodic motion. The boundary-value problem is solvable uniquely under the...