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» Modeling Trees with Hypertextures
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171
Voted
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 6 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
116
Voted
ICCV
1999
IEEE
16 years 5 months ago
Unsupervised Image Classification with a Hierarchical EM Algorithm
This work takes place in the context of hierarchical stochastic models for the resolution of discrete inverse problems from low level vision. Some of these models lie on the nodes...
Annabelle Chardin, Patrick Pérez
149
Voted
SODA
2010
ACM
208views Algorithms» more  SODA 2010»
16 years 1 months ago
Correlation Robust Stochastic Optimization
We consider a robust model proposed by Scarf, 1958, for stochastic optimization when only the marginal probabilities of (binary) random variables are given, and the correlation be...
Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Y...
139
Voted
DIS
2009
Springer
15 years 10 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
152
Voted
COMGEO
2006
ACM
15 years 3 months ago
Octrees with near optimal cost for ray-shooting
Predicting and optimizing the performance of ray shooting is a very important problem in computer graphics due to the severe computational demands of ray tracing and other applica...
Hervé Brönnimann, Marc Glisse