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» Measuring and Predicting Object Importance
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CORR
2010
Springer
163views Education» more  CORR 2010»
14 years 9 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
CVPR
2008
IEEE
15 years 1 months ago
An integrated background model for video surveillance based on primal sketch and 3D scene geometry
This paper presents a novel integrated background model for video surveillance. Our model uses a primal sketch representation for image appearance and 3D scene geometry to capture...
Wenze Hu, Haifeng Gong, Song Chun Zhu, Yongtian Wa...
MICCAI
2003
Springer
16 years 2 days ago
An Automatic System for Classification of Nuclear Sclerosis from Slit-Lamp Photographs
A robust and automatic system has been developed to detect the visual axis and extract important feature landmarks from slit-lamp photographs, and objectively grade the severity of...
Shaohua Fan, Charles R. Dyer, Larry Hubbard, Barba...
CONSTRAINTS
2002
107views more  CONSTRAINTS 2002»
14 years 11 months ago
Fourier Elimination for Compiling Constraint Hierarchies
Linear equality and inequality constraints arise naturally in specifying many aspects of user interfaces, such as requiring that one window be to the left of another, requiring tha...
Warwick Harvey, Peter J. Stuckey, Alan Borning
RECSYS
2010
ACM
14 years 9 months ago
RECON: a reciprocal recommender for online dating
The reciprocal recommender is a class of recommender system that is important for several tasks where people are both the subjects and objects of the recommendation. Some examples...
Luiz Augusto Sangoi Pizzato, Tomek Rej, Thomas Chu...