搜索结果: 1-15 共查到“工学 conditional”相关记录19条 . 查询时间(0.109 秒)
CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS
Change Detection Database Deep Convolutional Neural Networks Generative Adversarial Networks
2018/6/4
We present a method for change detection in images using Conditional Adversarial Network approach. The original network architecture based on pix2pix is proposed and evaluated for difference map creat...
AUTOMATIC LARGE-SCALAE 3D BUILDING SHAPE REFINEMENT USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
Conditional generative adversarial networks (cGANs) Digital Surface Model 3D scene refinement 3D building shape
2018/6/4
Three-dimensional building reconstruction from remote sensing imagery is one of the most difficult and important 3D modeling problems for complex urban environments. The main data sources provided the...
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...
A METHOD TO ESTIMATE TEMPORAL INTERACTION IN A CONDITIONAL RANDOM FIELD BASED APPROACH FOR CROP RECOGNITION
Conditional Random Fields Crop Recognition Multitemporal Image Analysis
2016/11/23
This paper presents a method to estimate the temporal interaction in a Conditional Random Field (CRF) based approach for crop recognition from multitemporal remote sensing image sequences. This approa...
EFFICIENT SEMANTIC SEGMENTATION OF MAN-MADE SCENES USING FULLY-CONNECTED CONDITIONAL RANDOM FIELD
Man-made Scene Semantic Segmentation Fully Connected CRFs Mean Field Inference
2016/7/27
In this paper we explore semantic segmentation of man-made scenes using fully connected conditional random field (CRF). Images of man-made scenes display strong contextual dependencies in the spatial ...
We present a simple and powerful type inference method for dynamically typed languages where no type information is supplied by the user. Type inference is reduced to the problem of solvability of a s...
Entailment with Conditional Equality Constraints
Entailment Conditional Equality Constraints
2016/5/24
Equality constraints (unification constraints) have widespread use in program analysis, most notably in static polymorphic type systems. Conditional equality constraints extend equality constraints wi...
Conditional Must Not Aliasing for Static Race Detection
static race detection Java synchronization concurrency multi-threading
2016/5/24
Race detection algorithms for multi-threaded programs using the common lock-based synchronization idiom must correlate locks with the memory locations they guard. The heart of a proof of race freedom ...
Causal e§ects of monetary shocks: Semiparametric conditional independence tests with a multinomial propensity score
conditional independence tests instrument
2015/9/22
Macroeconomists have long been concerned with the causal e§ects of monetary policy. When the identiÖcation of causal e§ects is based on a selection-on-observables assumption, non-causality amount...
EFFICIENT IV ESTIMATION FOR AUTOREGRESSIVE MODELSWITH CONDITIONAL HETEROGENEITY
AUTOREGRESSIVE CONDITIONAL HETEROGENEITY
2015/9/22
This paper analyzes autoregressive time series models where the errors are assumed to
be martingale difference sequences that satisfy an additional symmetry condition on their
fourth order mom...
MODELING THE CONDITIONAL PROBABILITY OF THE OCCURRENCE OF FUTURE LANDSLIDES IN A STUDY AREA CHARACTERIZED BY SPATIAL DATA
MODELING THE CONDITIONAL PROBABILITY FUTURE LANDSLIDES SPATIAL DATA
2015/3/16
MODELING THE CONDITIONAL PROBABILITY OF THE OCCURRENCE OF FUTURE LANDSLIDES IN A STUDY AREA CHARACTERIZED BY SPATIAL DATA.
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...
A two-layer Conditional Random Field model for simultaneous classification of land cover and land use
Contextual classification Conditional Random Fields multi-layer land use classification
2014/9/9
This paper proposes a two-layer Conditional Random Field model for simultaneous classification of land cover and land use. Both classification tasks are integrated into a unified graphical model, whic...
MULTI-SOURCE HIERARCHICAL CONDITIONAL RANDOM FIELD MODEL FOR FEATURE FUSION OF REMOTE SENSING IMAGES AND LIDAR DATA
Feature fusion Conditional Random Field Image Classification Multi-source Data Hierarchical model
2014/4/24
Feature fusion of remote sensing images and LiDAR points cloud data, which have strong complementarity, can effectively play the advantages of multi-class features to provide more reliable information...
Line-based Classification of Terrestrial Laser Scanning Data using Conditional Random Field
Gaussian Mixture Model Expectation Maximization Terrestrial Laser Scanning Conditional Random Field
2014/4/22
This paper describes a line-based classification method, which labels TLS point clouds into vertical object, ground, tree and low objects. A local classifier implements labeling task on individual sit...