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CORR
2012
Springer
183views Education» more  CORR 2012»
14 years 1 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
ICIP
2009
IEEE
16 years 6 months ago
Saliency-enhanced Image Aesthetics Class Prediction
We present a saliency-enhanced method for the classification of professional photos and snapshots. First, we extract the salient regions from an image by utilizing a visual salien...
ICRA
2010
IEEE
116views Robotics» more  ICRA 2010»
15 years 4 months ago
Learning visibility of landmarks for vision-based localization
— We aim to perform robust and fast vision-based localization using a pre-existing large map of the scene. A key step in localization is associating the features extracted from t...
Pablo Fernández Alcantarilla, Sang Min Oh, ...
ICASSP
2008
IEEE
15 years 12 months ago
Maximum entropy relaxation for multiscale graphical model selection
We consider the problem of learning multiscale graphical models. Given a collection of variables along with covariance specifications for these variables, we introduce hidden var...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
SIGIR
2010
ACM
15 years 9 months ago
Supervised query modeling using wikipedia
We use Wikipedia articles to semantically inform the generation of query models. To this end, we apply supervised machine learning to automatically link queries to Wikipedia artic...
Edgar Meij, Maarten de Rijke