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SCENE: Structural Conversation Evolution NEtwork

Marina Danilevsky, Joshua Hailpern, Jiawei Han
2011 2011 International Conference on Advances in Social Networks Analysis and Mining  
Motivated by theoretical work from psychology and linguistics in the area of conversation alignment, we introduce SCENE, an evolution network approach to extract knowledge from a conversation network.  ...  We find that SCENE is more successful because, in contrast to existing approaches, SCENE treats a conversation as an evolving, rather than a static document, and focuses on the structural elements of the  ...  In this work we introduce SCENE, an evolution network approach to extract knowledge from a conversation network.  ... 
doi:10.1109/asonam.2011.117 dblp:conf/asunam/DanilevskyHH11 fatcat:zbeqszydx5f5nj3dide32o4u4i

Physics perception in sloshing scenes with guaranteed thermodynamic consistency [article]

Beatriz Moya, Alberto Badias, David Gonzalez, Francisco Chinesta, Elias Cueto
2021 arXiv   pre-print
Physics perception very often faces the problem that only limited data or partial measurements on the scene are available.  ...  Our approach is based on recurrent neural networks (RNN) that project the limited information available to a reduced-order manifold so as to not only reconstruct the unknown information, but also to be  ...  In recent works, it has been coupled with DNNs to build the so-called Structure Preserving Neural Networks (SPNN) [38] [39] .  ... 
arXiv:2106.13301v2 fatcat:vllo3bmvrbfvfjbmuuidhemtxi

AI Centered on Scene Fitting and Dynamic Cognitive Network [article]

Feng Chen
2020 arXiv   pre-print
principle of cognitive network optimization is proposed, and the basic framework of Cognitive Network Learning algorithm (CNL) is designed that structure learning is the primary method and parameter learning  ...  network structure of two dimensions and multi layers is designed to achieve unified implementation of AI core processing such as combination and generalization; This paper analyzes the implementation  ...  Typical lateral relations are as follows: Conversion relation: It describes the conversion of two tree networks and is a tree-network relation.  ... 
arXiv:2010.04551v1 fatcat:ivvxjx3ggrbmxjpwmprlbsfvcq

Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes [article]

Hugues Thomas, Matthieu Gallet de Saint Aurin, Jian Zhang, Timothy D. Barfoot
2021 arXiv   pre-print
We present a novel method for generating, predicting, and using Spatiotemporal Occupancy Grid Maps (SOGM), which embed future information of dynamic scenes.  ...  We provide both quantitative and qualitative insights into the predictions and validate our choices of network design with a comparison to the state of the art and ablation studies.  ...  Figure 4 : 4 Top: conversion of SOGMs into SRMs. Bottom: Loss masks. Figure 5 : 5 Comparison of the network performance for our three actor behaviors. Figure 6 : 6 Examples of SOGM predictions.  ... 
arXiv:2108.10585v2 fatcat:pufqd46ydrhvfbin7qdvp3fqdy

Digital art history: the American scene

Johanna Drucker, Anne Helmreich, Matthew Lincoln, Francesca Rose
2015 Perspective  
In the United States, as elsewhere, the continuous application and evolution of digital technology in art history research, publishing and teaching since the 1980s have had a profound impact on the discipline  ...  Their projects fall broadly into four categories (these are also the categories comprising the digital humanities in the wider sense): text analysis, spatial analysis, network analysis and image analysis  ...  Complementing this local perspective, Helmreich used social network analysis to parse the stock books of Boussod, Valadon & Cie, identifying highly central actors and network structures in the web of art  ... 
doi:10.4000/perspective.6021 fatcat:kn5h6gwtwvhzloiyr7zzmypa6a

The International Scene

Ronald Plavchan
1984 The American Archivist  
The International Scene BELGIUM Network of Microcomputers Planned.  ...  PICK employs a variable-length relational file structure to organize the information inside the computer.  ...  In its articles it seeks to reflect the thinking of archivists about trends and major issues in archival philosophy and theory and about the evolution of the archival profession in North America.  ... 
doi:10.17723/aarc.47.4.n208p2w86np13x15 fatcat:wb3mmwm5bzczllkppkeupfmxlq

Setting the scene [chapter]

Ronald I. Miller
1994 Mapping the Diversity of Nature  
In the same manner, advocacy networks which have influenced the creation of these policy units within state structures have as well led to the marginalization of the gender equality agenda as these feminists  ...  What have been the national and political and historical circumstances that necessitated the emergence and evolution of the women"s agenda?  ... 
doi:10.1007/978-94-011-0719-8_1 fatcat:tvvqu3yqlfgyjpn3iz5qmpl3sq

echtzeitmusik berlin: selbstbestimmung einer szene | self-defining a scene

Christopher Williams
2011 Critical Studies in Improvisation  
and seven," whose authors' looser connection to the scene provide refreshing insights on the identity of the network as a whole.  ...  The Echtzeitmusik scene thus represents a flexible network in which . . . social aspects seem to have at least as important a role as aesthetics or approaches.  ... 
doi:10.21083/csieci.v7i2.1702 fatcat:v2du3z5g2fcnhez2pg4vweljs4

Small-Target Complex-Scene Detection Method Based on Information Interworking High-Resolution Network

Yongzhong Fu, Xiufeng Li, Zungang Hu
2021 Sensors  
This paper proposes a novel high-resolution small-target detection network named the IIHNet (information interworking high-resolution network) for complex scenes, which is based on information interworking  ...  The CNN (convolutional neural network)-based small target detection techniques for static complex scenes have been applied in many fields, but there are still certain technical challenges.  ...  Figure 1 . 1 Evolution of convolution networks; (a) a block of ResNet; (b) a block of ResNeXt; (c) a block of ResNeXt-RC.  ... 
doi:10.3390/s21155103 fatcat:nfnbh72orrdjnnofilprcaolwu

Intelligence-led crime scene processing. Part II: Intelligence and crime scene examination

Olivier Ribaux, Amélie Baylon, Eric Lock, Olivier Delémont, Claude Roux, Christian Zingg, Pierre Margot
2010 Forensic Science International  
The study of inference structures drawn at the scene is critical in this perspective [20] .  ...  For example, in Australia, crime scene units are now accredited to ISO 17025, whereas within the European Network of Forensic Science Institutes (ENFSI), there is an initiative to establish guidelines  ... 
doi:10.1016/j.forsciint.2010.03.011 pmid:20399047 fatcat:7xutchqearbvlbfwkxuhekv3oe

5 The Social Movement Scene of Labour [chapter]

2020 Social Movements and Solidarity Structures in Crisis-Ridden Greece  
By paying attention to the variety of decision-making systems, the formation of cooperatives' networks, the role of resources, as well as the different origins and evolution of self-management in Greece  ...  Taking into consideration the vast increase in unemployment, the chapter explores the incorporation of self-managed structures in libertarian social centres, and shows how the social movement scene of  ...  Organizational Structure The idea of self-management as an alternative to both state and marketcontrolled management is central to the social movement scene of labour.  ... 
doi:10.1515/9789048551460-008 fatcat:susc2nu23vg4pn2brfr5sihtju

Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning [article]

Masha Itkina, Katherine Driggs-Campbell, Mykel J. Kochenderfer
2019 arXiv   pre-print
We take advantage of the temporal structure of the grid data by utilizing a convolutional long-short term memory network in the form of the PredNet architecture.  ...  We present a novel framework that predicts the future occupancy state of the local environment surrounding an autonomous agent by learning a motion model from occupancy grid data using a neural network  ...  Conversely, the difference between DST-based grids and probabilitybased grids is pronounced.  ... 
arXiv:1904.12374v2 fatcat:akvfnn6g6ndandmbzlzibp2qbu

Towards joint sound scene and polyphonic sound event recognition [article]

Helen L. Bear, Ines Nolasco, Emmanouil Benetos
2019 arXiv   pre-print
Acoustic Scene Classification (ASC) and Sound Event Detection (SED) are two separate tasks in the field of computational sound scene analysis.  ...  In this work, we present a new dataset with both sound scene and sound event labels and use this to demonstrate a novel method for jointly classifying sound scenes and recognizing sound events.  ...  Five folds of data are structured as per the background scene divisions from DCASE 2013 to ensure scene sources are not duplicated between train and test folds.  ... 
arXiv:1904.10408v2 fatcat:epclvgzyzzc2jp5rtifhfm2xma

Movie Script Summarization as Graph-based Scene Extraction

Philip John Gorinski, Mirella Lapata
2015 Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies  
We formalize the process of generating a shorter version of a screenplay as the task of finding an optimal chain of scenes.  ...  Elson et al. (2010) analyze 19th century British novels by constructing a conversational network with vertices corresponding to characters and weighted edges corresponding to the amount of conversational  ...  We estimate P(c ∈ main(M)), the probability of c being a leading character in movie M, using a Multi Layer Perceptron (MLP) and several features pertaining to the structure of the social network and the  ... 
doi:10.3115/v1/n15-1113 dblp:conf/naacl/GorinskiL15 fatcat:ozquyxc5jfhhhhfsafm2gsahuq

Towards holistic scene understanding: Semantic segmentation and beyond [article]

Panagiotis Meletis
2022 arXiv   pre-print
First, we investigate semantic segmentation in the context of street scenes and train semantic segmentation networks on combinations of various datasets.  ...  This dissertation addresses visual scene understanding and enhances segmentation performance and generalization, training efficiency of networks, and holistic understanding.  ...  First, I would like to thank all current and past members of the MPS cluster for spending quality time together and having interesting conversations.  ... 
arXiv:2201.07734v1 fatcat:qdqnjqn75rff7kyja2iwer75my
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