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» Categorization by Learning and Combining Object Parts
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KDD
2008
ACM
183views Data Mining» more  KDD 2008»
14 years 8 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
DAIS
2008
13 years 8 months ago
Using Object Replication for Building a Dependable Version Control System
Object-oriented technologies are frequently used to design and implement distributed applications. Object replication is a well-established approach to increase the dependability f...
Rüdiger Kapitza, Peter Baumann, Hans P. Reise...
CVPR
2009
IEEE
2216views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Object Detection using a Max-Margin Hough Transform
We present a discriminative Hough transform based ob- ject detector where each local part casts a weighted vote for the possible locations of the object center. We show that the ...
Subhransu Maji (University of California, Berkeley...
CVPR
2010
IEEE
14 years 10 days ago
Object Recognition as Ranking Holistic Figure-Ground Hypotheses
We present an approach to visual object-class recognition and segmentation based on a pipeline that combines multiple, holistic figure-ground hypotheses generated in a bottom-up,...
Fuxin Li, JoãCarreira, Cristian Sminchisescu
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
11 years 10 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...