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- 3-D Shape Matching and Non-Rigid Correspondence for Hippocampi Based on Markov Random Fields
IEEE Trans. on Image Processing, V. 27, n. 3 (2018), p. 1271-1281. [ link ].
P. Xiao, N. Barnes and T. Caetano.
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- The Crossover Process: Learnability and Data Protection from Inference Attacks
arxiv.org/abs/1606.04160. . [ link ].
R. Nock, G. Patrini, F. Lattimore and T. Caetano.
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- Fast Learning from Distributed Datasets without Entity Resolution
IJCAI 2016. [ .pdf ].
G. Patrini, R. Nock, S. Hardy and T. Caetano.
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- Evolution of Privacy Loss in Widipedia
WSDM 2016. [ .pdf ].
M. A. Rizoiu, L. Xie, T. Caetano and M. Cebrian.
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- A Hybrid Loss for Multiclass and Structured Prediction
IEEE Trans. on PAMI, Volume 37, No. 1, 2015.
[ .pdf ]
Q. Shi, M. Reid, T. Caetano, A. van den Hengel and Z. Wang
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- (Almost) no label no cry
NIPS 2014, [ .pdf ].
G. Patrini, R. Nock, P. Rivera and T. Caetano.
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- Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems
ICML 2014. [ .pdf ].
A. Defazio, T. S. Caetano and J. Domke.
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- Bayesian Models for Structured Sparse Estimation via
Set Cover Prior
ECMLPKDD 2014. [ .pdf ].
X. Liu, X. Zhang and T. S. Caetano.
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- Optimization of Robust Loss Functions for Weakly-Labeled
Image Taxonomies
International Journal of Computer Vision, September 2013, Volume 104, Issue 3, pp 343-361. [ .pdf ].
J. J. McAuley, A. Ramisa and T. S. Caetano.
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- Active Subnetwork Recovery with a Mechanism-Dependent Scoring Function; with application to Angiogenesis and Organogenesis studies
BMC Bioinformatics, Vol. 14, No. 59, 2013. [ .pdf ].
I. Lichtenstein, M. Charleston, T. Caetano, J. Gamble, T. Vadas
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- A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
NIPS 2012, [ .pdf ].
A. J. Defazio and T. S. Caetano.
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- Learning as MAP Inference in Discrete Graphical Models
NIPS 2012, [ .pdf ].
X. Liu, J. Petterson and T. S. Caetano.
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- AI@NICTA
AI Magazine, Vol. 33, No. 3, 2012. [ .pdf ].
N. Barnes, P. Baumgartner, T. Caetano, H. Durrant-Whyte, G. Klein, P. Sanderson, A. Sattar, P. Stuckey, S. Thiebaux, P. Van Hentenryck, T. Walsh
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- A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training
ICML 2012. [ .pdf ].
A. J. Defazio and T. S. Caetano.
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- Dimensionality Reduction via Compressive Sensing
Pattern Recognition Letters 33 (2012) 1163-1170. [ .pdf ].
J. Gao, Q. Shi and T. S. Caetano.
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- Fast matching of large point sets under occlusions
Pattern Recognition 45 (2012) 563-569. [ .pdf ].
J. J. McAuley and T. S. Caetano.
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- Learning to Rank and Quadratic Assignment
DISCML 2011. NIPS Workshop on Discrete Optimization in Machine Learning (2011) [ .pdf ].
T. Mensink, J. Verbeek and T. Caetano.
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- Submodular Multi-Label Learning
NIPS 2011 [ .pdf ].
J. Petterson and T. Caetano.
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- Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study
EMMCVPR 2011. [ .pdf ].
J. J. McAuley, A. Ramisa and T. S. Caetano.
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- Faster Algorithms for Max-Product Message-Passing
Journal of Machine Learning Research,12 (2011) 1349-1388. [ .pdf ].
J. J. McAuley and T. S. Caetano.
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- Conditional Random Fields and Support Vector Machines: A Hybrid Approach
[ arxiv preprint ]
Q. Shi, M. D. Reid, T. Caetano.
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- Graphical Models
Encyclopedia of Machine Learning, 2010 [ .pdf ].
J. McAuley, T. Caetano and W. Buntine.
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- Sparse update for loopy belief propagation: fast dense registration for large state
spaces
DICTA 2010 [ .pdf ].
P. Xiao, N. Barnes, P. Lieby, T. Caetano.
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- Reverse Multi-Label Learning
NIPS 2010 [ .pdf ].
J. Petterson and T. Caetano.
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- Word Features for Latent Dirichlet Allocation
NIPS 2010 [ .pdf ].
J. Petterson, A. Smola, T. Caetano, W. Buntine, S. Narayanamurthy
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- Multitask Learning without Label Correspondences
NIPS 2010 [ .pdf ].
N. Quadrianto, A. Smola, T. Caetano, S. V. N. Vishwanathan and J. Petterson
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- Exploiting Data-Independence for Fast Belief Propagation
ICML 2010.
[ .pdf ]
J. J. McAuley and T. S. Caetano.
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- Unified Graph Matching in Euclidean Spaces
CVPR 2010.
[ .pdf ]
J. J. McAuley, T. de Campos and T. S. Caetano.
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- Exploiting Within-Clique Factorizations in Junction-Tree Algorithms
AISTATS 2010.
[ .pdf ]
J. J. McAuley and T. S. Caetano.
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- A Expected-Case Sub-Cubic Solution to the All-Pairs Shortest Path Problem in R
[ arxiv preprint ]
J. J. McAuley and T. S. Caetano.
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- Faster Algorithms for Max-Product Message-Passing
[ arxiv preprint ]
J. J. McAuley and T. S. Caetano.
|
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- Scalable Inference for Latent Dirichlet Allocation
[ arxiv preprint ]
J. Petterson and T. S. Caetano.
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- Estimating Labels from Label Proportions.
Journal of Machine Learning Research, 10(Oct): 2349-2374, 2009.
[ .pdf ]
N. Quadrianto, A. J. Smola, T. S. Caetano and Q. V. Le.
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- Learning Graph Matching.
IEEE Trans. on PAMI, 10(Oct): 2349-2374, 2009.
[ .pdf ][ data ][ code ]
T. S. Caetano, J. J. McAuley, L. Cheng, Q. V. Le and A. J. Smola
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- Exponential Family Graph Matching and Ranking.
NIPS 2009.
[ .pdf ]
J. Petterson, T. S. Caetano, J. J. McAuley and J. Yu.
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- Convex Relaxation of Mixture Regression with Efficient Algorithms.
NIPS 2009.
[ .pdf ]
N. Quadrianto, T. S. Caetano, J. Lim and D. Schuurmans.
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- Kernel Conditional Quantile Estimation via Reduction Revisited.
ICDM 2009.
[ .pdf ]
N. Quadrianto, K. Kersting, M. Reid, T. S. Caetano, and W. Buntine.
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- Shape Classification Through Structured Learning of Matching Measures.
CVPR 2009.
[ .pdf ]
L. Chen, J. J. McAuley, R. S. Feris, T. S. Caetano and M. Turk.
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- Applying Sum and Max Product Algorithms of Belief Propagation to 3D Shape Matching and Registration.
DICTA 2009,
[ .pdf ]
P. Xiao, N. Barnes, P. Leiby and T. S. Caetano.
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- Faster Graphical Models for Point Pattern Matching.
Spatial Vision, v. 22, n. 5, p. 443-453(11), 2009.
[ .pdf ]
T. S. Caetano and J. J. McAuley.
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- Robust Near-Isometric Matching via Structured Learning of Graphical Models.
NIPS 2008.
[ .pdf ]
J. J. McAuley, T. S. Caetano and A. J. Smola.
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- Graph rigidity, cyclic belief propagation and point pattern matching.
IEEE Trans. PAMI, 30 (11), p. 2047--2054,
2008.
[ .pdf ]
J. J. McAuley, T. S. Caetano, and M. S. Barbosa.
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- Inferring Differential Leukocyte Activity from Antibody Microarrays using a Latent Variable Model.
Genome Informatics, 21:126-137, 2008.
[ .pdf ]
J. W. K. Ho, R. Koundinya, T. S. Caetano, C. G. Dos Remedios and M. A. Charleston.
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- Estimating labels from label proportions.
ICML 2008.
[ .pdf ]
N. Quadrianto, A. J. Smola, T. S. Caetano, and Q. V. Le.
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- An mrf and gaussian curvature based shape representation for shape
matching.
CVPR 2007.
[ .pdf ]
P. Xiao, N. Barnes, T. S. Caetano, and P. Lieby.
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- Learning graph matching.
ICCV 2007.
[ .pdf ]
T. S. Caetano, L. Cheng, Q. V. Le, and A. J. Smola.
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- Rich club phenomenon across complex network hierarchies.
Applied Physics Letters, 91(084103), 2007.
[ .pdf ]
J. J. McAuley, L. da F. Costa, and T. S. Caetano.
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- Graphical Models and Point Pattern Matching.
IEEE Trans. PAMI, 28 (10), p. 1646-1663,
2006.
[ .pdf ]
T. S. Caetano, T. Caelli, D. Schuurmans and D. A. C. Barone.
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- A unified formulation of invariant point pattern matching.
ICPR 2006.
[ .pdf ]
T. S. Caetano and T. Caelli.
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- An embedded bayesian network hidden markov model for digital
forensics.
ISI 2006.
O. Y. de Vel, N. Liu, T. Caelli, and T. S. Caetano.
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- Approximating the problem, not the solution: an alternative view of
point set matching.
Pattern Recognition, 39:552-561, 2006.
[ .pdf ]
T. S. Caetano and T. Caelli.
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- Learning high-order MRF priors of color images.
ICML 2006.
[ http |
.pdf ]
J. McAuley, T. Caetano, A.J. Smola, and M. Franz.
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- Approximating the problem, not the solution: An alternative view of
point set matching.
GBRPR 2005.
[ .pdf ]
T. S. Caetano and T. Caelli.
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- Graphical models for graph matching: approximate models and optimal
algorithms.
Pattern Recognition Letters, 26:339-346, 2005.
[ .pdf ]
T. Caelli and T. Caetano.
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- Graphical models for graph matching.
CVPR 2004.
[ .pdf ]
T. S. Caetano, T. Caelli, and D. A. C. Barone.
|
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- An optimal probabilistic graphical model for point set matching.
SSPR 2004.
[ .pdf ]
T. S. Caetano, T. Caelli, and D. A. C. Barone.
|
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- A comparison of junction tree and relaxation algorithms for point
matching using different distance metrics.
ICPR 2004.
[ .pdf ]
T. S. Caetano, T. Caelli, and D. A. C. Barone.
|
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- Graphical models and point set matching.
PhD thesis, Universidade Federal do Rio Grande do Sul, 2004.
[ .pdf ]
T. S. Caetano.
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- Do mixture models in chromaticity space improve skin detection?
Pattern Recognition, 36(12):3019-3021, December 2003.
[ .pdf ]
T.S. Caetano, S.D. Olabarriaga, and D. A. C. Barone.
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- Performance evaluation of single and multiple-gaussian models for
skin color modeling.
SIBGRAPI 2002.
[ .pdf ]
T. S. Caetano, S. D. Olabarriaga, and D. A. C. Barone.
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- A probabilistic model for the human skin color.
ICIAP 2001.
[ .pdf ]
T. S. Caetano and D. A. C. Barone.
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- Nonmonotonic maps and laser bifurcations in laser accelerators.
Chaos, Solitons and Fractals, 7(2):165-175, 1996.
[ .pdf ]
T.S. Caetano, F. Couto, G. Corso, R. Pakter, L. Brunnet, and F. B. Rizzato.
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- Chaotic dynamics induced by space-charge waves in cyclotron
resonance accelerators.
Physical Review E, 54(4):4202-4210, 1996.
[ .pdf ]
R. Pakter, I. L. Caldas, F. Couto, T. Caetano, and F. B. Rizzato.
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- Bifurcations leading to stochasticity in a cyclotron-maser system.
Physics of Plasmas, 1:4099-4104, December 1994.
[ .pdf ]
R. Pakter, G. Corso, T. S. Caetano, D. Dillenburg, and F. B. Rizzato.
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