• 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 36 matches

• 2021
• 
  Reza Aghayan:
  Numerical joint invariant level set formulation with unique image segmentation result. Mach. Vis. Appl. 32(1): 33 (2021)
• 2020
• 
  Minje Park:
  JGAN: A Joint Formulation of GAN for Synthesizing Images and Labels. IEEE Access 8: 188883-188888 (2020)
• 
  Ali Mohammad Shafei, Hossein Mirzaeinejad:
  A General Formulation for Managing Trajectory Tracking in Non-holonomic Moving Manipulators with Rotary-Sliding Joints. J. Intell. Robotic Syst. 99(3): 729-746 (2020)
• 
  Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu:
  Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection. Neural Networks 121: 441-451 (2020)
• 2019
• 
  Minje Park:
  JGAN: A Joint Formulation of GAN for Synthesizing Images and Labels. CoRR abs/1905.11574 (2019)
• 2018
• 
  M. H. Korayem, S. F. Dehkordi:
  Derivation of motion equation for mobile manipulator with viscoelastic links and revolute-prismatic flexible joints via recursive Gibbs-Appell formulations. Robotics Auton. Syst. 103: 175-198 (2018)
• 
  Steve Dai, Gai Liu, Zhiru Zhang:
  A Scalable Approach to Exact Resource-Constrained Scheduling Based on a Joint SDC and SAT Formulation. FPGA 2018: 137-146
• 
  Daniel Medina, Anja Heßelbarth, Rauno Buscher, Ralf Ziebold, Jesús García:
  On the Kalman filtering formulation for RTK joint positioning and attitude quaternion determination. PLANS 2018: 597-604
• 
  Luciana Ferrer:
  Scoring Formulation for Multi-Condition Joint PLDA. CoRR abs/1803.03684 (2018)
• 2017
• 
  Dong Chen, Xudong Cao, David P. Wipf, Fang Wen, Jian Sun:
  An Efficient Joint Formulation for Bayesian Face Verification. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 32-46 (2017)
• 
  Yi Liu, José M. Bioucas-Dias, Jun Li, Antonio Plaza:
  Multi-superpixelization-based convex formulation for joint classification of hyperspectral and lidar data. IGARSS 2017: 807-810
• 
  Nobuto Hirakoso, Jun'ya Terayama, Naoya Yoshinaga, Ryoichiro Tamura, Tatsuya Hatori, Yusuke Hirama, Woong Choi, Yoichi Shigematsu, Hironoshin Kawabata, Tadao Arai:
  A study on optimal formulation for multi-legged gait robot with redundant joint. MHS 2017: 1-6
• 2016
• 
  Ahmad M. El-Hajj, Zaher Dawy:
  Joint dynamic switching point configuration and resource allocation in TDD-OFDMA networks: optimal formulation and suboptimal solution. Trans. Emerg. Telecommun. Technol. 27(1): 17-33 (2016)
• 
  Jun Xiang, Jianhua Hou, Changxin Gao, Nong Sang:
  Data Association Based Multi-target Tracking Using a Joint Formulation. ACCV (4) 2016: 240-255
• 
  Margret Keuper, Siyu Tang, Zhongjie Yu, Bjoern Andres, Thomas Brox, Bernt Schiele:
  A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects. CoRR abs/1607.06317 (2016)
• 2015
• 
  Elsa Bernard, Laurent Jacob, Julien Mairal, Eric Viara, Jean-Philippe Vert:
  A convex formulation for joint RNA isoform detection and quantification from multiple RNA-seq samples. BMC Bioinform. 16: 262:1-262:10 (2015)
• 
  Effrosyni Theodorou, Ali Diabat:
  A joint quay crane assignment and scheduling problem: formulation, solution algorithm and computational results. Optim. Lett. 9(4): 799-817 (2015)
• 
  Pierre Comon, Yang Qi, Konstantin Usevich:
  A Polynomial Formulation for Joint Decomposition of Symmetric Tensors of Different Orders. LVA/ICA 2015: 22-30
• 
  Hemant Kumar Aggarwal, Angshul Majumdar:
  Multi-spectral demosaicing: A joint-sparse elastic-net formulation. ICAPR 2015: 1-5
• 
  Ali Gaber, Karim G. Seddik, Ayman Elezabi:
  Joint estimation-detection of cyber attacks in smart grids: Bayesian and non-Bayesian formulations. WCNC 2015: 2245-2250
• 2014
• 
  Behrouz Afzali-Far, Per Lidström:
  A Joint-Space Parametric Formulation for the Vibrations of Symmetric Gough-Stewart Platforms. ICSEng 2014: 323-329
• 2013
• 
  Lubor Ladicky, Philip H. S. Torr, Andrew Zisserman:
  Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation. CVPR 2013: 3578-3585
• 2012
• 
  Dong Chen, Xudong Cao, Liwei Wang, Fang Wen, Jian Sun:
  Bayesian Face Revisited: A Joint Formulation. ECCV (3) 2012: 566-579
• 2011
• 
  Rafael Augusto De Melo:
  Mixed integer programming formulations and heuristics for joint production and transportation problems. Catholic University of Louvain, Louvain-la-Neuve, Belgium, 2011
• 
  Mohsen Jahanshahi, Mehdi Dehghan, Mohammad Reza Meybodi:
  A mathematical formulation for joint channel assignment and multicast routing in multi-channel multi-radio wireless mesh networks. J. Netw. Comput. Appl. 34(6): 1869-1882 (2011)
• 
  Qiuling Zou, Qinghong Zhang, Jingzhou (James) Yang, Robyn Boothby, Jared Gragg, Aimee Cloutier:
  An Alternative Formulation for Determining Weights of Joint Displacement Objective Function in Seated Posture Prediction. HCI (17) 2011: 231-242
• 2006
• 
  Michèle Breton, Georges Zaccour, Mehdi Zahaf:
  A game-theoretic formulation of joint implementation of environmental projects. Eur. J. Oper. Res. 168(1): 221-239 (2006)
• 
  Sokratis Makrogiannis, Ragini Verma, Bilge Karaçali, Christos Davatzikos:
  A Joint Transformation and Residual Image Descriptor for Morphometric Image Analysis using an Equivalence Class Formulation. CVPR Workshops 2006: 74
• 2004
• 
  Di Zhang, Minghui Du:
  High-resolution image reconstruction using joint constrained edge pattern recognition and POCS formulation. ICARCV 2004: 832-837
• 2002
• 
  Lara Kornienko, David L. Dowe, David W. Albrecht:
  Message Length Formulation of Support Vector Machines for Binary Classification - A Preliminary Scheme. Australian Joint Conference on Artificial Intelligence 2002: 119-130

skipping 6 more matches