Sciweavers

976 search results - page 113 / 196
» Measuring and Predicting Object Importance
Sort
View
162
Voted
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 4 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 ...
143
Voted
IEEEVAST
2010
14 years 10 months ago
Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological opera
Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
Bilkis J. Ferdosi, Hugo Buddelmeijer, Scott Trager...
139
Voted
CVPR
2004
IEEE
16 years 5 months ago
A Unified Framework for Uncertainty Propagation in Automatic Shape Tracking
Uncertainty handling plays an important role during shape tracking. We have recently shown that the fusion of measurement information with system dynamics and shape priors greatly...
Xiang Sean Zhou, Dorin Comaniciu, Binglong Xie, R....
142
Voted
ICIP
2008
IEEE
16 years 5 months ago
Segmentation-based Perceptual Image Quality Assessment (SPIQA)
Computational representation of perceived image quality is a fundamental problem in computer vision and image processing, which has assumed increased importance with the growing r...
Bernard Ghanem, Esther Resendiz, Narendra Ahuja
114
Voted
KDD
2006
ACM
128views Data Mining» more  KDD 2006»
16 years 4 months ago
Workload-aware anonymization
Protecting data privacy is an important problem in microdata distribution. Anonymization algorithms typically aim to protect individual privacy, with minimal impact on the quality...
Kristen LeFevre, David J. DeWitt, Raghu Ramakrishn...