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CORR
2012
Springer
183views Education» more  CORR 2012»
13 years 5 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
ICCV
2009
IEEE
1075views Computer Vision» more  ICCV 2009»
16 years 2 months ago
LabelMe video: Building a Video Database with Human Annotations
Currently, video analysis algorithms suffer from lack of information regarding the objects present, their interactions, as well as from missing comprehensive annotated video dat...
Jenny Yuen, Bryan Russell, Ce Liu, Antonio Torralb...
CVPR
2008
IEEE
15 years 12 months ago
Learning stick-figure models using nonparametric Bayesian priors over trees
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
Edward Meeds, David A. Ross, Richard S. Zemel, Sam...
ICDE
2006
IEEE
428views Database» more  ICDE 2006»
15 years 11 months ago
Integrating Unstructured Data into Relational Databases
In this paper we present a system for automatically integrating unstructured text into a multi-relational database using state-of-the-art statistical models for structure extracti...
Imran R. Mansuri, Sunita Sarawagi
ICPR
2004
IEEE
15 years 11 months ago
A Hybrid Face Recognition Method using Markov Random Fields
We propose a hybrid face recognition method that combines holistic and feature analysis-based approaches using a Markov random field (MRF) model. The face images are divided into ...
Dimitris N. Metaxas, Rui Huang, Vladimir Pavlovic