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ECCV
2010
Springer
13 years 8 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
IROS
2009
IEEE
161views Robotics» more  IROS 2009»
14 years 3 months ago
Accurate shape-based 6-DoF pose estimation of single-colored objects
— The problem of accurate 6-DoF pose estimation of 3D objects based on their shape has so far been solved only for specific object geometries. Edge-based recognition and trackin...
Pedram Azad, Tamim Asfour, Rüdiger Dillmann
ASPDAC
2007
ACM
164views Hardware» more  ASPDAC 2007»
14 years 18 days ago
Thermal-Aware 3D IC Placement Via Transformation
- 3D IC technologies can help to improve circuit performance and lower power consumption by reducing wirelength. Also, 3D IC technology can be used to realize heterogeneous system-...
Jason Cong, Guojie Luo, Jie Wei, Yan Zhang
WWW
2008
ACM
14 years 9 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...
RECSYS
2009
ACM
14 years 3 months ago
Conceptual recommender system for CiteSeerX
Short search engine queries do not provide contextual information, making it difficult for traditional search engines to understand what users are really requesting. One approach ...
Ajith Kodakateri Pudhiyaveetil, Susan Gauch, Hiep ...