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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 9 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
168
Voted
CGF
2006
146views more  CGF 2006»
15 years 6 months ago
Competing Fronts for Coarse-to-Fine Surface Reconstruction
We present a deformable model to reconstruct a surface from a point cloud. The model is based on an explicit mesh representation composed of multiple competing evolving fronts. Th...
Andrei Sharf, Thomas Lewiner, Ariel Shamir, Leif K...
CVPR
2005
IEEE
16 years 8 months ago
A Closed Form Solution to Direct Motion Segmentation
We present a closed form solution to the problem of segmenting multiple 2-D motion models of the same type directly from the partial derivatives of an image sequence. We introduce...
Dheeraj Singaraju, René Vidal
ACCV
2006
Springer
16 years 21 days ago
A Bottom up Algebraic Approach to Motion Segmentation
We present a bottom up algebraic approach for segmenting multiple 2D motion models directly from the partial derivatives of an image sequence. Our method fits a polynomial called ...
Dheeraj Singaraju, René Vidal
IJPRAI
2002
93views more  IJPRAI 2002»
15 years 6 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov