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ECCV
2010
Springer
13 years 10 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
JUCS
2006
112views more  JUCS 2006»
13 years 9 months ago
A Multi-objective Genetic Approach to Mapping Problem on Network-on-Chip
Abstract: Advances in technology now make it possible to integrate hundreds of cores (e.g. general or special purpose processors, embedded memories, application specific components...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi
JMM2
2007
218views more  JMM2 2007»
13 years 9 months ago
A Novel Method for 3D Face Detection and Normalization
—When automatically analyzing images of human faces, either for recognition in biometry applications or facial expression analysis in human machine interaction, one has to cope w...
Robert Niese, Ayoub Al-Hamadi, Bernd Michaelis
ISCA
2010
IEEE
237views Hardware» more  ISCA 2010»
13 years 8 months ago
High performance cache replacement using re-reference interval prediction (RRIP)
Practical cache replacement policies attempt to emulate optimal replacement by predicting the re-reference interval of a cache block. The commonly used LRU replacement policy alwa...
Aamer Jaleel, Kevin B. Theobald, Simon C. Steely J...
TMC
2010
210views more  TMC 2010»
13 years 8 months ago
Exploiting Reactive Mobility for Collaborative Target Detection in Wireless Sensor Networks
—Recent years have witnessed the deployments of wireless sensor networks in a class of mission-critical applications such as object detection and tracking. These applications oft...
Rui Tan, Guoliang Xing, Jianping Wang, Hing-Cheung...