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KDD
2012
ACM
271views Data Mining» more  KDD 2012»
11 years 11 months ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
CIDM
2007
IEEE
14 years 18 days ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
CVPR
2011
IEEE
13 years 4 months ago
A generative model for 3D urban scene understanding from movable platforms
3D scene understanding is key for the success of applications such as autonomous driving and robot navigation. However, existing approaches either produce a mild level of understa...
Andreas Geiger, Martin Lauer, Raquel Urtasun
CVPR
2008
IEEE
14 years 10 months ago
Semi-supervised boosting using visual similarity learning
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
Christian Leistner, Helmut Grabner, Horst Bischof
JGS
2010
105views more  JGS 2010»
13 years 7 months ago
Testing for spatial association of qualitative data using symbolic dynamics
Qualitative spatial variables are important in many fields of research. However, unlike the decades-worth of research devoted to the spatial association of quantitative variables, ...
Manuel Ruiz, Fernando López, Antonio P&aacu...