• 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 30 matches

• 2020
• 
  Zichuan Liu, Guosheng Lin, Wang Ling Goh:
  Bottom-Up Scene Text Detection with Markov Clustering Networks. Int. J. Comput. Vis. 128(6): 1786-1809 (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)
• 
  Zhenfeng He, Shuxiu Lan, Bo Shen:
  Bottom-up Subspace Clustering Based Occupational Hearing Loss Signal Detection. CISP-BMEI 2020: 814-819
• 
  Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu:
  Scalable Bottom-Up Hierarchical Clustering. CoRR abs/2010.11821 (2020)
• 2019
• 
  Yutian Lin, Xuanyi Dong, Liang Zheng, Yan Yan, Yi Yang:
  A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification. AAAI 2019: 8738-8745
• 2018
• 
  Zeinab Dehghan, Eghbal G. Mansoori:
  A new feature subset selection using bottom-up clustering. Pattern Anal. Appl. 21(1): 57-66 (2018)
• 
  Minh Tuan Doan, Jianzhong Qi, Sutharshan Rajasegarar, Christopher Leckie:
  Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data. IEEE BigData 2018: 106-111
• 
  Olga Majewska, Diana McCarthy, Ivan Vulic, Anna Korhonen:
  Acquiring Verb Classes Through Bottom-Up Semantic Verb Clustering. LREC 2018
• 
  Minh Tuan Doan, Jianzhong Qi, Sutharshan Rajasegarar, Christopher Leckie:
  Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data. CoRR abs/1811.02722 (2018)
• 2016
• 
  Chong-U Lim, Antonios Liapis, D. Fox Harrell:
  Discovering Social and Aesthetic Categories of Avatars: A Bottom-Up Artificial Intelligence Approach Using Image Clustering. DiGRA/FDG 2016
• 
  Poonam Goyal, Sonal Kumari, Shubham Singh, Vivek Kishore, Sundar Balasubramaniam, Navneet Goyal:
  A Parallel Framework for Grid-Based Bottom-Up Subspace Clustering. DSAA 2016: 331-340
• 2015
• 
  Yu-Chieh Wu:
  Chinese Text Categorization via Bottom-Up Weighted Word Clustering. Int. J. Enterp. Inf. Syst. 11(1): 50-61 (2015)
• 
  Chris Gaiteri, Mingming Chen, Boleslaw K. Szymanski, Konstantin Kuzmin, Jierui Xie, Changkyu Lee, Timothy Blanche, Elias Chaibub Neto, Su-Chun Huang, Thomas J. Grabowski, Tara M. Madhyastha, Vitalina Komashko:
  Identifying robust clusters and multi-community nodes by combining top-down and bottom-up approaches to clustering. CoRR abs/1501.04709 (2015)
• 
  Alessia Amelio:
  A Bottom-up Strategy for Clustering Complex Datasets with Application to Language and Script Discrimination. ERCIM News 2015(103) (2015)
• 2012
• 
  Satoshi Takumi, Sadaaki Miyamoto:
  Top-down vs bottom-up methods of linkage for asymmetric agglomerative hierarchical clustering. GrC 2012: 459-464
• 
  Gang Yang, Shangce Gao, Junyan Yi, Xiaofeng Meng:
  Unsupervised up-to-bottom hierarchical clustering elastic net algorithm for TSP. IJCNN 2012: 1-8
• 2011
• 
  Simon Bozonnet, Dong Wang, Nicholas W. D. Evans, Raphaël Troncy:
  Linguistic influences on bottom-up and top-down clustering for speaker diarization. ICASSP 2011: 4424-4427
• 2010
• 
  Ali Vahdat, Malcolm I. Heywood, A. Nur Zincir-Heywood:
  Bottom-up evolutionary subspace clustering. IEEE Congress on Evolutionary Computation 2010: 1-8
• 2009
• 
  Hidenobu Sumioka, Yuji Takeuchi, Yuichiro Yoshikawa, Minoru Asada:
  Bottom-up social development through reproducing contingency with sensorimotor clustering. EpiRob 2009
• 
  Muhammad Zaheer Aziz, Bärbel Mertsching:
  Early Clustering Approach towards Modeling of Bottom-Up Visual Attention. KI 2009: 315-322
• 2008
• 
  Chung-I Chang, Nancy P. Lin:
  A Crossover-Imaged Clustering Algorithm with Bottom-up Tree. FSKD (2) 2008: 327-331
• 2006
• 
  P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian:
  Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification. Pattern Recognit. 39(12): 2344-2355 (2006)
• 
  Michal Glomba, Urszula Markowska-Kaczmar:
  IBUSCA: A Grid-based Bottom-up Subspace Clustering Algorithm. ISDA (1) 2006: 671-676
• 2005
• 
  Yair Horesh, Ron Unger:
  A bottom-up clustering algorithm to detect ncRNA molecules with a common secondary structure. Int. J. Bioinform. Res. Appl. 1(3): 292-304 (2005)
• 2004
• 
  Chihli Hung, Stefan Wermter, Peter Smith:
  Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering. ECIR 2004: 154-166
• 
  Michael Betser, Frédéric Bimbot, Mathieu Ben, Guillaume Gravier:
  Speaker diarization using bottom-up clustering based on a parameter-derived distance between adapted GMMs. INTERSPEECH 2004
• 1999
• 
  José B. Mariño, Albino Nogueiras Rodriguez:
  Top-down bottom-up hybrid clustering algorithm for acoustic-phonetic modeling of speech. EUROSPEECH 1999
• 1997
• 
  Cristina Chesta, Pietro Laface, Franco Ravera:
  Bottom-up and top-down state clustering for robust acoustic modeling. EUROSPEECH 1997
• 1993
• 
  Jason Cong, M'Lissa Smith:
  A Parallel Bottom-Up Clustering Algorithm with Applications to Circuit Partitioning in VLSI Design. DAC 1993: 755-760
• 
  Walid A. Najjar, Lucas Roh, A. P. Wim Böhm:
  The Initial Performance of a Bottom-Up Clustering Algorithm for Dataflow Graphs. Architectures and Compilation Techniques for Fine and Medium Grain Parallelism 1993: 91-100