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CISM
1993
149views GIS» more  CISM 1993»
13 years 8 months ago
The Weak Instance Model
The weak instance model is a framework to consider the relations in a database as a whole, regardless of the way attributes are grouped in the individual relations. Queries and upd...
Paolo Atzeni, Riccardo Torlone
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
12 years 7 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth
ICASSP
2010
IEEE
13 years 4 months ago
Weakly supervised learning with decision trees applied to fisheries acoustics
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
POPL
2010
ACM
14 years 1 months ago
On the Verification Problem for Weak Memory Models
We address the verification problem of finite-state concurrent programs running under weak memory models. These models capture the reordering of program (read and write) operation...
Ahmed Bouajjani, Madanlal Musuvathi, Mohamed Faouz...
ECCV
2008
Springer
13 years 6 months ago
Multiple Instance Boost Using Graph Embedding Based Decision Stump for Pedestrian Detection
Pedestrian detection in still image should handle the large appearance and stance variations arising from the articulated structure, various clothing of human as well as viewpoints...
Junbiao Pang, Qingming Huang, Shuqiang Jiang