Kernel conditional quantile estimation via reduction revisited (2009)
Quadrianto, Novi, Kersting, Kristian, Reid, Mark, Caetano, Tiberio, Buntine, Wray
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among other domains. In...
Scalable Inference for Latent Dirichlet Allocation (2009)
Petterson, James, Caetano, Tiberio
We investigate the problem of learning a topic model - the well-known Latent Dirichlet Allocation - in a distributed manner, using a cluster of C processors and dividing the corpus to be learned...
Exponential Family Graph Matching and Ranking (2009)
Petterson, James, Caetano, Tiberio, McAuley, Julian, Yu, Jin
We present a method for learning max-weight matching predictors in bipartite graphs. The method consists of performing maximum a posteriori estimation in exponential families with sufficient...
An MRF and Gaussian Curvature Based Shape Representation for Shape Matching (2008)
Pengdong Xiao, Nick Barnes, Tiberio Caetano, Paulette Lieby
Matching and registration of shapes is a key issue in Computer Vision, Pattern Recognition, and Medical Image Analysis. This paper presents a shape representation framework based on Gaussian...
Estimating labels from label proportions (2008)
Quadrianto, Novi, Smola, Alex, Caetano, Tiberio, Le, Quoc
Consider the following problem: given sets of unlabeled observations, each set with known label proportions, predict the labels of another set of observations, also with known label proportions. This...
Learning Graph Matching (2007)
Smola, Alex, Caetano, Tiberio, Cheng, Li, Le, Quoc
As a fundamental problem in pattern recognition, graph matching has found a variety of applications in the field of computer vision. In graph matching, patterns are modeled as graphs and pattern...
Rich-club phenomenon across complex network hierarchies (2007)
McAuley, Julian, Da Fontoura Costa, Luciano, Caetano, Tiberio
The “rich-club phenomenon” in complex networks is characterized when nodes of higher degree are more interconnected than nodes with lower degree. The presence of this phenomenon may indicate...
An MRF and Gaussian Curvature Based Shape Representation for Shape Matching (2007)
Xiao, P, Barnes, N, Caetano, Tiberio, Lieby, P
Matching and registration of shapes is a key issue in Computer Vision, Pattern Recognition, and Medical Image Analysis. This paper presents a shape representation framework based on Gaussian...
Graphical models for graph matching: approximate models and optimal algorithms (2004)
Comparing scene, pattern or object models to structures in images or determining the correspondence between two point sets are examples of attributed graph matching. In this paper we show how such...