Tiberio Caetano

	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.
	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.
	Fast Learning from Distributed Datasets without Entity Resolution IJCAI 2016. [ .pdf ]. G. Patrini, R. Nock, S. Hardy and T. Caetano.
	Evolution of Privacy Loss in Widipedia WSDM 2016. [ .pdf ]. M. A. Rizoiu, L. Xie, T. Caetano and M. Cebrian.
	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
	(Almost) no label no cry NIPS 2014, [ .pdf ]. G. Patrini, R. Nock, P. Rivera and T. Caetano.
	Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems ICML 2014. [ .pdf ]. A. Defazio, T. S. Caetano and J. Domke.
	Bayesian Models for Structured Sparse Estimation via Set Cover Prior ECMLPKDD 2014. [ .pdf ]. X. Liu, X. Zhang and T. S. Caetano.
	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.
	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
	A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NIPS 2012, [ .pdf ]. A. J. Defazio and T. S. Caetano.
	Learning as MAP Inference in Discrete Graphical Models NIPS 2012, [ .pdf ]. X. Liu, J. Petterson and T. S. Caetano.
	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
	A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training ICML 2012. [ .pdf ]. A. J. Defazio and T. S. Caetano.
	Dimensionality Reduction via Compressive Sensing Pattern Recognition Letters 33 (2012) 1163-1170. [ .pdf ]. J. Gao, Q. Shi and T. S. Caetano.
	Fast matching of large point sets under occlusions Pattern Recognition 45 (2012) 563-569. [ .pdf ]. J. J. McAuley and T. S. Caetano.
	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.
	Submodular Multi-Label Learning NIPS 2011 [ .pdf ]. J. Petterson and T. Caetano.
	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.
	Faster Algorithms for Max-Product Message-Passing Journal of Machine Learning Research,12 (2011) 1349-1388. [ .pdf ]. J. J. McAuley and T. S. Caetano.
	Conditional Random Fields and Support Vector Machines: A Hybrid Approach [ arxiv preprint ] Q. Shi, M. D. Reid, T. Caetano.
	Graphical Models Encyclopedia of Machine Learning, 2010 [ .pdf ]. J. McAuley, T. Caetano and W. Buntine.
	Sparse update for loopy belief propagation: fast dense registration for large state spaces DICTA 2010 [ .pdf ]. P. Xiao, N. Barnes, P. Lieby, T. Caetano.
	Reverse Multi-Label Learning NIPS 2010 [ .pdf ]. J. Petterson and T. Caetano.
	Word Features for Latent Dirichlet Allocation NIPS 2010 [ .pdf ]. J. Petterson, A. Smola, T. Caetano, W. Buntine, S. Narayanamurthy
	Multitask Learning without Label Correspondences NIPS 2010 [ .pdf ]. N. Quadrianto, A. Smola, T. Caetano, S. V. N. Vishwanathan and J. Petterson
	Exploiting Data-Independence for Fast Belief Propagation ICML 2010. [ .pdf ] J. J. McAuley and T. S. Caetano.
	Unified Graph Matching in Euclidean Spaces CVPR 2010. [ .pdf ] J. J. McAuley, T. de Campos and T. S. Caetano.
	Exploiting Within-Clique Factorizations in Junction-Tree Algorithms AISTATS 2010. [ .pdf ] J. J. McAuley and T. S. Caetano.
	A Expected-Case Sub-Cubic Solution to the All-Pairs Shortest Path Problem in R [ arxiv preprint ] J. J. McAuley and T. S. Caetano.
	Faster Algorithms for Max-Product Message-Passing [ arxiv preprint ] J. J. McAuley and T. S. Caetano.
	Scalable Inference for Latent Dirichlet Allocation [ arxiv preprint ] J. Petterson and T. S. Caetano.
	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.
	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
	Exponential Family Graph Matching and Ranking. NIPS 2009. [ .pdf ] J. Petterson, T. S. Caetano, J. J. McAuley and J. Yu.
	Convex Relaxation of Mixture Regression with Efficient Algorithms. NIPS 2009. [ .pdf ] N. Quadrianto, T. S. Caetano, J. Lim and D. Schuurmans.
	Kernel Conditional Quantile Estimation via Reduction Revisited. ICDM 2009. [ .pdf ] N. Quadrianto, K. Kersting, M. Reid, T. S. Caetano, and W. Buntine.
	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.
	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.
	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.
	Robust Near-Isometric Matching via Structured Learning of Graphical Models. NIPS 2008. [ .pdf ] J. J. McAuley, T. S. Caetano and A. J. Smola.
	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.
	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.
	Estimating labels from label proportions. ICML 2008. [ .pdf ] N. Quadrianto, A. J. Smola, T. S. Caetano, and Q. V. Le.
	An mrf and gaussian curvature based shape representation for shape matching. CVPR 2007. [ .pdf ] P. Xiao, N. Barnes, T. S. Caetano, and P. Lieby.
	Learning graph matching. ICCV 2007. [ .pdf ] T. S. Caetano, L. Cheng, Q. V. Le, and A. J. Smola.
	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.
	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.
	A unified formulation of invariant point pattern matching. ICPR 2006. [ .pdf ] T. S. Caetano and T. Caelli.
	An embedded bayesian network hidden markov model for digital forensics. ISI 2006. O. Y. de Vel, N. Liu, T. Caelli, and T. S. Caetano.
	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.
	Learning high-order MRF priors of color images. ICML 2006. [ http \| .pdf ] J. McAuley, T. Caetano, A.J. Smola, and M. Franz.
	Approximating the problem, not the solution: An alternative view of point set matching. GBRPR 2005. [ .pdf ] T. S. Caetano and T. Caelli.
	Graphical models for graph matching: approximate models and optimal algorithms. Pattern Recognition Letters, 26:339-346, 2005. [ .pdf ] T. Caelli and T. Caetano.
	Graphical models for graph matching. CVPR 2004. [ .pdf ] T. S. Caetano, T. Caelli, and D. A. C. Barone.
	An optimal probabilistic graphical model for point set matching. SSPR 2004. [ .pdf ] T. S. Caetano, T. Caelli, and D. A. C. Barone.
	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.
	Graphical models and point set matching. PhD thesis, Universidade Federal do Rio Grande do Sul, 2004. [ .pdf ] T. S. Caetano.
	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.
	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.
	A probabilistic model for the human skin color. ICIAP 2001. [ .pdf ] T. S. Caetano and D. A. C. Barone.
	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.
	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.
	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.