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ICCV
2009
IEEE
16 years 8 months ago
Semi-Supervised Random Forests
Random Forests (RFs) have become commonplace in many computer vision applications. Their popularity is mainly driven by their high computational efficiency during both training ...
Christian Leistner, Amir Saffari, Jakob Santner, H...
133
Voted
DS
1997
104views Database» more  DS 1997»
15 years 4 months ago
Managing Constraint Violations in Administrative Information Systems
This paper motivates a comprehensive methodological framework for dealing with some aspects of real-world complexity in information system analysis and design. By complex applicat...
I. Boydens, Alain Pirotte, Esteban Zimányi
ECCV
2008
Springer
15 years 5 months ago
Active Image Labeling and Its Application to Facial Action Labeling
For many tasks in computer vision, it is very important to produce the groundtruth data. At present, this is mostly done manually. Manual data labeling is labor-intensive and prone...
Lei Zhang, Yan Tong, Qiang Ji
139
Voted
MOBICOM
2010
ACM
15 years 3 months ago
Bartendr: a practical approach to energy-aware cellular data scheduling
Cellular radios consume more power and suffer reduced data rate when the signal is weak. According to our measurements, the communication energy per bit can be as much as 6x highe...
Aaron Schulman, Vishnu Navda, Ramachandran Ramjee,...
SIGMOD
2009
ACM
190views Database» more  SIGMOD 2009»
16 years 3 months ago
Optimizing complex extraction programs over evolving text data
Most information extraction (IE) approaches have considered only static text corpora, over which we apply IE only once. Many real-world text corpora however are dynamic. They evol...
Fei Chen 0002, Byron J. Gao, AnHai Doan, Jun Yang ...