Deep understanding of 3-D multimedia information retrieval on social media: implications and challenges

[1]  Massimiliano Pontil,et al.  Multi-task Learning , 2020, Transfer Learning.

[2]  Shouhuai Xu,et al.  VulDeePecker: A Deep Learning-Based System for Vulnerability Detection , 2018, NDSS.

[3]  Yu Liu,et al.  A review of semantic segmentation using deep neural networks , 2017, International Journal of Multimedia Information Retrieval.

[4]  Adel M. Alimi,et al.  Enhanced Deep Learning Models for Sentiment Analysis in Arab Social Media , 2017, ICONIP.

[5]  Changshui Zhang,et al.  Metric learning based data augmentation for environmental sound classification , 2017, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

[6]  Suhuai Luo,et al.  Automatic Alzheimer’s Disease Recognition from MRI Data Using Deep Learning Method , 2017 .

[7]  Guangtao Zhai,et al.  A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme , 2017, Scientific Reports.

[8]  Pascal Frossard,et al.  Graph-Based Classification of Omnidirectional Images , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

[9]  J. Fernando Sánchez-Rada,et al.  Enhancing deep learning sentiment analysis with ensemble techniques in social applications , 2020 .

[10]  Yue Wu,et al.  Deep-Learning Based, Automated Segmentation of Macular Edema in Optical Coherence Tomography , 2017, bioRxiv.

[11]  Graça Bressan,et al.  Age Groups Classification in Social Network Using Deep Learning , 2017, IEEE Access.

[12]  Tao Chen,et al.  Expert Systems With Applications , 2022 .

[13]  Hao Wang,et al.  Ontology-based deep learning for human behavior prediction with explanations in health social networks , 2017, Inf. Sci..

[14]  Jonathan Masci,et al.  Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[15]  Anam Saiyeda Cloud computing for deep learning analytics:A survey of current trends and challenges , 2017 .

[16]  Rini Wongso,et al.  Personality Prediction System from Facebook Users , 2017, ICCSCI.

[17]  Novita Hanafiah,et al.  Text Normalization Algorithm on Twitter in Complaint Category , 2017, ICCSCI.

[18]  Yi Tay,et al.  Deep Learning based Recommender System: A Survey and New Perspectives , 2017, ArXiv.

[19]  Georg Gartner,et al.  Progress in Location-Based Services 2016 , 2017, LBS.

[20]  Seok-Pil Lee,et al.  Query by Singing / Humming System Based on Deep Learning , 2017 .

[21]  Lu Yujie,et al.  Are Deep Learning Methods Better for Twitter Sentiment Analysis , 2017 .

[22]  Gerhard Widmer,et al.  Feature Learning for Chord Recognition: The Deep Chroma Extractor , 2016, ISMIR.

[23]  Nitesh V. Chawla,et al.  Deep learning for network analysis: Problems, approaches and challenges , 2016, MILCOM 2016 - 2016 IEEE Military Communications Conference.

[24]  Shafiq R. Joty,et al.  Applications of Online Deep Learning for Crisis Response Using Social Media Information , 2016, ArXiv.

[25]  Junping Du,et al.  Social network search based on semantic analysis and learning , 2016, CAAI Trans. Intell. Technol..

[26]  Peerapon Vateekul,et al.  A study of sentiment analysis using deep learning techniques on Thai Twitter data , 2016, 2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE).

[27]  A. Hamza,et al.  Deep shape-aware descriptor for nonrigid 3D object retrieval , 2016, International Journal of Multimedia Information Retrieval.

[28]  Hao Li,et al.  Real-Time Facial Segmentation and Performance Capture from RGB Input , 2016, ECCV.

[29]  Li Liu,et al.  Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction , 2016, AAAI.

[30]  Colin Raffel,et al.  Learning-Based Methods for Comparing Sequences, with Applications to Audio-to-MIDI Alignment and Matching , 2016 .

[31]  Lin Yao,et al.  The 7 th International Conference on Ambient Systems , Networks and Technologies ( ANT 2016 ) Link Prediction Based on Common-Neighbors for Dynamic Social Network , 2016 .

[32]  Daniel Dworak,et al.  3D Models on Triple Paths - New Pathways for Documenting and Visualizing Virtual Reconstructions , 2016, 3D Research Challenges in Cultural Heritage.

[33]  Alexander Zipf,et al.  Show Me the Data!: Structuring Archaeological Data to Deliver Interactive, Transparent 3D Reconstructions in a 3D WebGIS , 2016, 3D Research Challenges in Cultural Heritage.

[34]  Sander Münster,et al.  3D Research Challenges in Cultural Heritage II , 2016, Lecture Notes in Computer Science.

[35]  Hao Wang,et al.  Ontology-based deep learning for human behavior prediction in health social networks , 2015, BCB.

[36]  Bob L. Sturm,et al.  Deep Learning and Music Adversaries , 2015, IEEE Transactions on Multimedia.

[37]  Andrew Zisserman,et al.  On-the-fly learning for visual search of large-scale image and video datasets , 2015, International Journal of Multimedia Information Retrieval.

[38]  A. Vinay,et al.  Cloud Based Big Data Analytics Framework for Face Recognition in Social Networks Using Machine Learning , 2015 .

[39]  Taghi M. Khoshgoftaar,et al.  Deep learning applications and challenges in big data analytics , 2015, Journal of Big Data.

[40]  Pavel Zezula,et al.  Towards Fast Multimedia Feature Extraction: Hadoop or Storm , 2014, 2014 IEEE International Symposium on Multimedia.

[41]  Qionghai Dai,et al.  View-based 3-D Object Retrieval , 2014 .

[42]  Lynley Stone,et al.  Multimedia Information Retrieval: Theory and Techniques , 2014 .

[43]  Ren Hung Hwang,et al.  A Multimedia Parallel Processing Approach on GPU MapReduce Framework , 2014, 2014 7th International Conference on Ubi-Media Computing and Workshops.

[44]  Xue-wen Chen,et al.  Big Data Deep Learning: Challenges and Perspectives , 2014, IEEE Access.

[45]  Laurent Amsaleg,et al.  Indexing and searching 100M images with map-reduce , 2013, ICMR.

[46]  Jukka M. Krisp,et al.  Progress in Location-Based Services , 2013, Lecture Notes in Geoinformation and Cartography.

[47]  Cheng Cheng,et al.  Large-scale multimedia data mining using MapReduce framework , 2012, 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings.

[48]  Alan Hanjalic,et al.  New grand challenge for multimedia information retrieval: bridging the utility gap , 2012, International Journal of Multimedia Information Retrieval.

[49]  Yoshua Bengio,et al.  Unsupervised and Transfer Learning Challenge: a Deep Learning Approach , 2011, ICML Unsupervised and Transfer Learning.

[50]  Gianluca Stringhini,et al.  Detecting spammers on social networks , 2010, ACSAC '10.

[51]  Murali Krishna,et al.  Implementation and Performance Evaluation of a Hybrid Distributed System for Storing and Processing Images from the Web , 2010, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.

[52]  Derek C. Rose,et al.  Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier] , 2010, IEEE Computational Intelligence Magazine.

[53]  Honglak Lee,et al.  Unsupervised feature learning for audio classification using convolutional deep belief networks , 2009, NIPS.

[54]  Yoshihiro Okada,et al.  3D Multimedia Data Search System Based on Stochastic ARG Matching Method , 2009, MMM.

[55]  Edward J. Delp,et al.  3D Object Processing: Compression, Indexing and Watermarking , 2008, J. Electronic Imaging.

[56]  Umberto Straccia,et al.  Multimedia Information Retrieval Model , 2009, Encyclopedia of Database Systems.

[57]  Naga K. Govindaraju,et al.  Mars: A MapReduce Framework on graphics processors , 2008, 2008 International Conference on Parallel Architectures and Compilation Techniques (PACT).

[58]  Mohan S. Kankanhalli,et al.  Application Potential of Multimedia Information Retrieval , 2008, Proceedings of the IEEE.

[59]  Andrea Giachetti,et al.  3-SHIRT: Three-Dimensional Shape Indexing and Retrieval Techniques , 2008, Eurographics Italian Chapter Conference.

[60]  Michael G. Strintzis,et al.  Information Processing , 1989 .

[61]  Sven Havemann,et al.  Seven Research Challenges of Generalized 3D Documents , 2007, IEEE Computer Graphics and Applications.

[62]  Yoshua. Bengio,et al.  Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..

[63]  Kin Hing Ho,et al.  3D model search engine , 2007 .

[64]  Daniela Giorgi,et al.  A Comparison Framework for 3D Object Classification Methods , 2006, MRCS.

[65]  Mohan S. Kankanhalli,et al.  Information assimilation framework for event detection in multimedia surveillance systems , 2006, Multimedia Systems.

[66]  Thomas A. Funkhouser,et al.  Partial matching of 3D shapes with priority-driven search , 2006, SGP '06.

[67]  Nicu Sebe,et al.  Content-based multimedia information retrieval: State of the art and challenges , 2006, TOMCCAP.

[68]  Daniel A. Keim,et al.  An experimental effectiveness comparison of methods for 3D similarity search , 2006, International Journal on Digital Libraries.

[69]  BENJAMIN BUSTOS,et al.  Feature-based similarity search in 3D object databases , 2005, CSUR.

[70]  James Ze Wang,et al.  Content-based image retrieval: approaches and trends of the new age , 2005, MIR '05.

[71]  Soo-Mi Choi,et al.  Similarity Estimation of 3D Shapes Using Modal Strain Energy , 2005, KES.

[72]  Karthik Ramani,et al.  Three-dimensional shape searching: state-of-the-art review and future trends , 2005, Comput. Aided Des..

[73]  Yong Rui,et al.  Real-time speaker tracking using particle filter sensor fusion , 2004, Proceedings of the IEEE.

[74]  Nick K. Taylor,et al.  A surface partitioning spectrum (SPS) for retrieval and indexing of 3D CAD models , 2004, Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004..

[75]  Thomas A. Funkhouser,et al.  The Princeton Shape Benchmark , 2004, Proceedings Shape Modeling Applications, 2004..

[76]  Remco C. Veltkamp,et al.  A survey of content based 3D shape retrieval methods , 2004, Proceedings Shape Modeling Applications, 2004..

[77]  Philip Shilane,et al.  Stratified Point Sampling of 3D Models , 2004, PBG.

[78]  Hamid Laga,et al.  Geometry image based similarity estimation for 3D model retrieval , 2004 .

[79]  Hermilo Sánchez-Cruz,et al.  A method of optimum transformation of 3D objects used as a measure of shape dissimilarity , 2003, Image Vis. Comput..

[80]  David P. Dobkin,et al.  A search engine for 3D models , 2003, TOGS.

[81]  Dietmar Saupe,et al.  Tools for 3D-object retrieval: Karhunen-Loeve transform and spherical harmonics , 2001, 2001 IEEE Fourth Workshop on Multimedia Signal Processing (Cat. No.01TH8564).

[82]  Tsuhan Chen,et al.  Indexing and retrieval of 3D models aided by active learning , 2001, MULTIMEDIA '01.

[83]  Christian Böhm,et al.  Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases , 2001, CSUR.

[84]  Taku Komura,et al.  Topology matching for fully automatic similarity estimation of 3D shapes , 2001, SIGGRAPH.

[85]  Arthur W. Toga,et al.  Three-dimensional skeleton and centerline generation based on an approximate minimum distance field , 1998, The Visual Computer.

[86]  Todd A. Cass,et al.  Robust Affine Structure Matching for 3D Object Recognition , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[87]  Martial Hebert,et al.  On 3D shape similarity , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[88]  S. Sitharama Iyengar,et al.  Efficient Data Structures for Model-Based 3-D Object Recognition and Localization from Range Images , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[89]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[90]  Anil K. Jain,et al.  BONSAI: 3D Object Recognition Using Constrained Search , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[91]  Ramesh C. Jain,et al.  Three-dimensional object recognition , 1985, CSUR.