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NIPS
2008
15 years 8 months ago
Generative and Discriminative Learning with Unknown Labeling Bias
We apply robust Bayesian decision theory to improve both generative and discriminative learners under bias in class proportions in labeled training data, when the true class propo...
Miroslav Dudík, Steven J. Phillips
RSS
2007
134views Robotics» more  RSS 2007»
15 years 8 months ago
A Fast and Practical Algorithm for Generalized Penetration Depth Computation
— We present an efficient algorithm to compute the generalized penetration depth (PDg) between rigid models. Given two overlapping objects, our algorithm attempts to compute the...
Liangjun Zhang, Young J. Kim, Dinesh Manocha
DGO
2003
123views Education» more  DGO 2003»
15 years 8 months ago
Technical Problems of Deploying Standard Initiative of National City True Orthophoto Mapping
This paper presents our preliminary experimental results on the encountered many problems when producing urban true orthoimages of downtown, where a number of high buildings prese...
Guoqing Zhou, Zhihao Qin, Susan Benjamin, J. Rand,...
NIPS
2004
15 years 8 months ago
Sampling Methods for Unsupervised Learning
We present an algorithm to overcome the local maxima problem in estimating the parameters of mixture models. It combines existing approaches from both EM and a robust fitting algo...
Robert Fergus, Andrew Zisserman, Pietro Perona
NIPS
2001
15 years 8 months ago
Categorization by Learning and Combining Object Parts
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...