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CVPR
2008
IEEE
16 years 3 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 2 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
SIGIR
2006
ACM
15 years 7 months ago
Adapting ranking SVM to document retrieval
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Hua...
127
Voted
BMCBI
2007
132views more  BMCBI 2007»
15 years 1 months ago
On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve
Background: Novel molecular and statistical methods are in rising demand for disease diagnosis and prognosis with the help of recent advanced biotechnology. High-resolution mass s...
Jingjing Ye, Hao Liu, Crystal Kirmiz, Carlito B. L...
105
Voted
IJCV
2000
141views more  IJCV 2000»
15 years 1 months ago
Reliable Estimation of Dense Optical Flow Fields with Large Displacements
In this paper we show that a classic optical ow technique by Nagel and Enkelmann (1986) can be regarded as an early anisotropic di usion method with a di usion tensor. We introduc...
Luis Álvarez, Joachim Weickert, Javier S&aa...