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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
DAC
2004
ACM
14 years 9 months ago
Adaptive data partitioning for ambient multimedia
In the near future, Ambient Intelligence (AmI) will become part of everyday life. Combining feature-rich multimedia with AmI (dubbed Ambient Multimedia for short) has the potentia...
Xiaoping Hu, Radu Marculescu
ICDS
2009
IEEE
14 years 2 months ago
Self Protecting Data for De-perimeterised Information Sharing
- The emergence of high-speed networks, Grid Computing, Service-Oriented Architectures, and an ever increasing ambient connection to mobile Internet has enabled an underpinning inf...
Pete Burnap, Jeremy Hilton
IAT
2009
IEEE
14 years 2 months ago
Symbol Statistics for Concept Formation in AI Agents
—High level conceptual thought seems to be at the basis of the impressive human cognitive ability. Classical topdown (Logic based) and bottom-up (Connectionist) approaches to the...
Jason R. Chen
INFOCOM
2009
IEEE
14 years 2 months ago
CPM: Adaptive Video-on-Demand with Cooperative Peer Assists and Multicast
—We present CPM, a unified approach that exploits server multicast, assisted by peer downloads, to provide efficient video-on-demand (VoD) in a service provider environment. We...
Vijay Gopalakrishnan, Samrat Bhattacharjee, K. K. ...