• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 106 matches

• 2020
• 
  Xuejun Wang, Feilong Cao, Wenjian Wang:
  Adaptive sparse and dense hybrid representation with nonconvex optimization. Frontiers Comput. Sci. 14(4): 144306 (2020)
• 
  Zubair Khan, Jie Yang:
  Bottom-up unsupervised image segmentation using FC-Dense u-net based deep representation clustering and multidimensional feature fusion based region merging. Image Vis. Comput. 94: 103871 (2020)
• 
  Tan Guo, Fulin Luo, Lei Zhang, Xiaoheng Tan, Juhua Liu, Xiaocheng Zhou:
  Target Detection in Hyperspectral Imagery via Sparse and Dense Hybrid Representation. IEEE Geosci. Remote. Sens. Lett. 17(4): 716-720 (2020)
• 
  Esaú Villatoro-Tello, Shantipriya Parida, Petr Motlícek, Ondrej Bojar:
  Inferring Highly-dense Representations for Clustering Broadcast Media Content. Prague Bull. Math. Linguistics 115: 31-50 (2020)
• 
  Yanping Fu, Qingan Yan, Jie Liao, Alix L. H. Chow, Chunxia Xiao:
  Real-time dense 3D reconstruction and camera tracking via embedded planes representation. Vis. Comput. 36(10): 2215-2226 (2020)
• 
  Antonio M. S. Almeida Neto, Helena de Medeiros Caseli, Tiago A. Almeida:
  Dense Captioning Using Abstract Meaning Representation. BRACIS 2020: 450-465
• 
  Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao:
  U-net for learning and inference of dense representation of multiple air pollutants from satellite imagery. CI 2020: 128-133
• 
  Wenpeng Hu, Mengyu Wang, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao:
  Transformation of Dense and Sparse Text Representations. COLING 2020: 3257-3267
• 
  Tengda Han, Weidi Xie, Andrew Zisserman:
  Memory-Augmented Dense Predictive Coding for Video Representation Learning. ECCV (3) 2020: 312-329
• 
  Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
  Unsupervised Learning of Video Representations via Dense Trajectory Clustering. ECCV Workshops (2) 2020: 404-421
• 
  Senyue Hao, Wenye Li:
  Sparse Lifting of Dense Vectors: A Unified Approach to Word and Sentence Representations. ICONIP (4) 2020: 717-725
• 
  Pedro O. Pinheiro, Amjad Almahairi, Ryan Y. Benmalek, Florian Golemo, Aaron C. Courville:
  Unsupervised Learning of Dense Visual Representations. NeurIPS 2020
• 
  Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins:
  Sparse, Dense, and Attentional Representations for Text Retrieval. CoRR abs/2005.00181 (2020)
• 
  Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
  Unsupervised Learning of Video Representations via Dense Trajectory Clustering. CoRR abs/2006.15731 (2020)
• 
  Tengda Han, Weidi Xie, Andrew Zisserman:
  Memory-augmented Dense Predictive Coding for Video Representation Learning. CoRR abs/2008.01065 (2020)
• 
  Haonan Lu, Hailin Hu:
  DensE: An Enhanced Non-Abelian Group Representation for Knowledge Graph Embedding. CoRR abs/2008.04548 (2020)
• 
  Wenfeng Liu, Maoguo Gong, Zedong Tang, A. Kai Qin:
  Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations. CoRR abs/2010.05404 (2020)
• 
  Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin:
  Distilling Dense Representations for Ranking using Tightly-Coupled Teachers. CoRR abs/2010.11386 (2020)
• 
  Pedro O. Pinheiro, Amjad Almahairi, Ryan Y. Benmaleck, Florian Golemo, Aaron C. Courville:
  Unsupervised Learning of Dense Visual Representations. CoRR abs/2011.05499 (2020)
• 
  Joachim Sicking, Maximilian Pintz, Maram Akila, Tim Wirtz:
  DenseHMM: Learning Hidden Markov Models by Learning Dense Representations. CoRR abs/2012.09783 (2020)
• 
  Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, Danqi Chen:
  Learning Dense Representations of Phrases at Scale. CoRR abs/2012.12624 (2020)
• 2019
• 
  Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
  DENSER: deep evolutionary network structured representation. Genet. Program. Evolvable Mach. 20(1): 5-35 (2019)
• 
  Jie Zhou, Hongchan Zheng, Lulu Pan:
  Ensemble clustering based on dense representation. Neurocomputing 357: 66-76 (2019)
• 
  Somaya Al-Máadeed, Xudong Jiang, Imad Rida, Ahmed Bouridane:
  Palmprint identification using sparse and dense hybrid representation. Multim. Tools Appl. 78(5): 5665-5679 (2019)
• 
  Meiting Yu, Sinong Quan, Gangyao Kuang, Shaojie Ni:
  SAR Target Recognition via Joint Sparse and Dense Representation of Monogenic Signal. Remote. Sens. 11(22): 2676 (2019)
• 
  Yong Wang, Xinbin Luo, Lu Ding, Jingjing Wu:
  Object tracking via dense SIFT features and low-rank representation. Soft Comput. 23(20): 10173-10186 (2019)
• 
  Tommaso Fornaciari, Dirk Hovy:
  Dense Node Representation for Geolocation. W-NUT@EMNLP 2019: 224-230
• 
  Daniel Gillick, Sayali Kulkarni, Larry Lansing, Alessandro Presta, Jason Baldridge, Eugene Ie, Diego García-Olano:
  Learning Dense Representations for Entity Retrieval. CoNLL 2019: 528-537
• 
  Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison:
  SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations. CVPR 2019: 11776-11785
• 
  Todor Staykovski, Alberto Barrón-Cedeño, Giovanni Da San Martino, Preslav Nakov:
  Dense vs. Sparse Representations for News Stream Clustering. Text2Story@ECIR 2019: 47-52

skipping 76 more matches