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VAULT MODELING WITH NEURAL NETWORKS
Automation Machine learning Modeling Neural Network Point cloud Vault
2019/3/1
Nowadays, the digital reconstruction of vaults is carried out using photogrammetric and laser scanning techniques able to capture the visible surface with dense point clouds. Then, different modeling ...
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...
GAIT RECOGNITION BASED ON CONVOLUTIONAL NEURAL NETWORKS
Gait Recognition Biometrics Convolutional Neural Networks Optical Flow
2017/6/19
In this work we investigate the problem of people recognition by their gait. For this task, we implement deep learning approach using the optical flow as the main source of motion information and comb...
Topological landscape is introduced for networks with functions defined on the nodes. By extending the notion of gradient flows to the net-work setting, critical nodes of different indices are defined...
Utility Optimal Scheduling in Energy Harvesting Networks
Energy Harvesting Networks Lyapunov Analy- sis Stochastic Network Queueing
2016/1/23
In this paper, we show how to achieve close-to-optimal utility performance in energy harvesting networks with only finite capacity energy storage devices. In these networks,nodes are capable of harves...
Predict the Multi-hop Reliability for Receiver Contention Based Routing in Dynamic Link Networks
Dynamic Link Networks Markov Chain Re- ceiver Contention Routing
2016/1/23
We consider dynamic link networks(DLN), where nodes are static, but the links are highly dynamic. Reliable multi-hop communication is critical in such networks, which inspires receiver contention rout...
Minimum Control Latency of Dynamic Networks
Structural controllability Minimum control la- tency Controlling pattern design
2016/1/22
Controlling a dynamic network is interesting and important in practical applications, which is to drive the network from any initial state to any desired state. Much research has been conducted in rev...
Local Information in Influence Networks
InfluenceNetworks Multi-hopInformation HierarchyofAlgorithms Distributed Algorithms
2016/1/22
We study how multi-hop information impacts convergence in social influence networks. In influence networks, nodes have a choice between two op-tions A and B, and each node prefers to end up choosing t...
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...
Indifferentiability of Confusion-Diffusion Networks
Indifferentiability Confusion-Diffusion Networks
2016/1/22
We show the first positive results for the indifferentiability security of the confusion-diffusion networks (which are extensively used in the design of block ciphers and hash functions).In particular...
Feistel Networks: Indifferentiability at 10 Rounds
Feistel Networks Indifferentiability Rounds
2016/1/22
We prove that a (balanced) 10-round Feistel network is indifferentiable from a random permutation. In a previous seminal result, Holenstein et al. [17] had established indifferentiability of Feistel a...
AUTOMATIC DETECTION OF PATTERNS IN ROAD NETWORKS -METHODS AND EVALUATION
pattern recognition networks vector data geometric information
2015/9/28
Spatial data play a major role in many areas. They are an important source of information for a wide range of applications. The
quality and quantity of data have increased in the last decades, resul...
Fast Convergence of Natural Bargaining Dynamics in Exchange Networks
Network model games a distributed algorithm
2015/8/21
Bargaining networks model the behavior of a set of players that need to reach pairwise agree-ments for making profits. Nash bargaining solutions are special outcomes of such games that are both stable...
Relay Networks With Delays
Relay Networks Delays
2015/8/12
The paper investigates the effect of link delays on the capacity of relay networks. The relay-with-delay is defined as a relay channel with relay encoding delay of d 2 units, or equivalently, a delay ...
We consider the problem of determining optimal wire widths for a power or ground network, subject to limits on wire widths, voltage drops, total wire area, current density, and power dissipation. To a...