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ML
2007
ACM
127views Machine Learning» more  ML 2007»
14 years 9 months ago
Density estimation with stagewise optimization of the empirical risk
We consider multivariate density estimation with identically distributed observations. We study a density estimator which is a convex combination of functions in a dictionary and ...
Jussi Klemelä
ML
2007
ACM
192views Machine Learning» more  ML 2007»
14 years 9 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
CACM
2010
161views more  CACM 2010»
14 years 8 months ago
Efficiently searching for similar images
As it becomes increasingly viable to capture, store, and share large amounts of image and video data, automatic image analysis is crucial to managing visual information. Many prob...
Kristen Grauman
ASIACRYPT
2010
Springer
14 years 8 months ago
Linear-Complexity Private Set Intersection Protocols Secure in Malicious Model
Private Set Intersection (PSI) protocols allow one party ("client") to compute an intersection of its input set with that of another party ("server"), such tha...
Emiliano De Cristofaro, Jihye Kim, Gene Tsudik
COLT
2010
Springer
14 years 8 months ago
Forest Density Estimation
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...
Anupam Gupta, John D. Lafferty, Han Liu, Larry A. ...