Travelled to:1 × Finland
1 × Israel
1 × USA
2 × China
2 × United Kingdom
Collaborated with:A.Defazio T.Caelli J.J.McAuley A.J.Smola J.Domke D.A.C.Barone N.Quadrianto Q.V.Le M.O.Franz
Talks about:method (2) formul (2) point (2) match (2) label (2) fast (2) data (2) neighbourhood (1) comparison (1) increment (1)
Person: Tibério S. Caetano
DBLP: Caetano:Tib=eacute=rio_S=
Contributed to:
20142012201020082006
20062004Wrote 7 papers:
- ICML-c2-2014-DefazioDC #big data #incremental #named #performance #problem
- Finito: A faster, permutable incremental gradient method for big data problems (AD, JD, TSC), pp. 1125–1133.
- ICML-2012-DefazioC #collaboration #performance #visual notation
- A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training (AD, TSC), p. 75.
- ICML-2010-McAuleyC #performance
- Exploiting Data-Independence for Fast Belief-Propagation (JJM, TSC), pp. 767–774.
- ICML-2008-QuadriantoSCL
- Estimating labels from label proportions (NQ, AJS, TSC, QVL), pp. 776–783.
- ICML-2006-McAuleyCSF #higher-order #image #learning
- Learning high-order MRF priors of color images (JJM, TSC, AJS, MOF), pp. 617–624.
- ICPR-v3-2006-CaetanoC #invariant #pattern matching
- A Unified Formulation of Invariant Point Pattern Matching (TSC, TC), pp. 121–124.
- ICPR-v2-2004-CaetanoCB #algorithm #comparison #distance #metric #using
- A Comparison of Junction Tree and Relaxation Algorithms for Point Matching using Different Distance Metrics (TSC, TC, DACB), pp. 124–127.