7 papers:
- ECIR-2015-Dutta #approximate #mining #named #statistics #string #using
- MIST: Top-k Approximate Sub-string Mining Using Triplet Statistical Significance (SD), pp. 284–290.
- ICML-2015-AmidU #learning #multi
- Multiview Triplet Embedding: Learning Attributes in Multiple Maps (EA, AU), pp. 1472–1480.
- HIMI-AS-2014-HirashimaYH #learning #problem #word
- Triplet Structure Model of Arithmetical Word Problems for Learning by Problem-Posing (TH, SY, YH), pp. 42–50.
- ICPR-2014-MoeiniMF #image #invariant #matrix #realtime #recognition
- Real-Time Pose-Invariant Face Recognition by Triplet Pose Sparse Matrix from Only a Single Image (AM, HM, KF), pp. 465–470.
- ICPR-1998-Huynh #analysis #image #re-engineering
- Euclidean reconstruction from an image triplet: a sensitivity analysis (DQH), pp. 835–837.
- ICPR-1996-PulliS #modelling #probability #recognition #using
- Triplet-based object recognition using synthetic and real probability models (KP, LGS), pp. 75–79.
- SAC-1996-RamamurthyYG #generative #on the #parallel #scalability
- On the scalability of parallel triplet generation for protein crystallography (SR, BWY, CG), pp. 344–352.