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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...
ACM 2017第二届数据通信网络QoE分析与管理研讨会（ACM SIGCOMM 2017 2nd Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE 2017)）
ACM 2017 第二届 数据通信网络 QoE分析与管理 研讨会
2017/6/29
Measuring and analyzing complex networks such as the Internet has been the focus of many research efforts for over two decades now. While this approach has lead to an improved understanding of the Int...
Receding Learning-aided Control in Stochastic Networks
Receding learning-aided control Detection Network optimization Queueing
2016/1/22
In this paper, we develop the Receding Learning-aided Control algorithm ( RLC ) for solving optimization problems in general stochastic networks with potentially non-stationary system dynamics. RLC is...
OPEN-VOCABULARY SPOKEN UTTERANCE RETRIEVAL USING CONFUSION NETWORKS
Spoken Utterance Retrieval Confusion Network Audio Indexing
2014/11/27
This paper presents a novel approach to open-vocabulary spoken utterance retrieval using confusion networks. If out-of-vocabulary (OOV) words are present in queries and the corpus, word-based indexing...
Application of artificial neural networks in modelling of normalised structural steels mechanical properties
Artificial intelligence methods Computational material science and mechanics Artificial neural networks
2009/12/14
Purpose: This paper presents the application of artificial neural networks for mechanical properties prediction of constructional steels after heat treatment.
Design/methodology/approach: On the basi...
Numerical Optimization of Single-chamber Mufflers Using Neural Networks and Genetic Algorithm
Four-pole transfer matrix Polynomial neural network model Optimization Genetic algorithm
2009/9/30
To simplify the optimization process, a simplified mathematical model of a muffler is constructed using a neural network and a series of input design data (muffler dimensions) and output data (theoret...
Rate-Distortion Optimization with Inter-View Refreshment for Stereoscopic Video Coding over Error-Prone Networks
Stereoscopic video coding error resilience inter-view refreshment end-to-end distortion model ratedistortion optimization
2013/7/16
Stereoscopic video is a practical and important manner for 3-D video applications, and robust stereoscopic video transmission over error-prone networks has posed a technical challenge for stereoscopic...
Keyphrase extraction using semantic networks structural analysis
Keyphrase extraction semantic networks structural analysis
2010/12/16
Keyphrases play a key role in text indexing, summarization and categorization. However, most of the existing keyphrase extraction approaches require human-labeled training sets. In this paper, we prop...