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PAMI
2006
145views more  PAMI 2006»
13 years 7 months ago
Reflectance Sharing: Predicting Appearance from a Sparse Set of Images of a Known Shape
Three-dimensional appearance models consisting of spatially varying reflectance functions defined on a known shape can be used in analysis-by-synthesis approaches to a number of vi...
Todd Zickler, Ravi Ramamoorthi, Sebastian Enrique,...
KAIS
2008
221views more  KAIS 2008»
13 years 7 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan
ICML
2007
IEEE
14 years 8 months ago
Multi-task learning for sequential data via iHMMs and the nested Dirichlet process
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
Kai Ni, Lawrence Carin, David B. Dunson
CVPR
2008
IEEE
14 years 9 months ago
Filtering Internet image search results towards keyword based category recognition
In this work we aim to capitalize on the availability of Internet image search engines to automatically create image training sets from user provided queries. This problem is part...
Kamil Wnuk, Stefano Soatto
ECCV
2010
Springer
14 years 24 days ago
Towards Optimal Naive Bayes Nearest Neighbor
Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...