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» Learning classifiers from only positive and unlabeled data
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FLAIRS
2004
13 years 8 months ago
A Faster Algorithm for Generalized Multiple-Instance Learning
In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag's label is not based on a single instance's proximity to a...
Qingping Tao, Stephen D. Scott
ICIP
2004
IEEE
14 years 9 months ago
Online face recognition system for videos based on modified probabilistic neural networks
Video retrieval in consumer applications demands high level semantic descriptors such as people's identity. The problem is that in a variety of videos such as home videos, Ho...
Jun Fan, Nevenka Dimitrova, Vasanth Philomin
MLMI
2005
Springer
14 years 29 days ago
Improving the Performance of Acoustic Event Classification by Selecting and Combining Information Sources Using the Fuzzy Integr
Acoustic events produced in meeting-room-like environments may carry information useful for perceptually aware interfaces. In this paper, we focus on the problem of combining diffe...
Andrey Temko, Dusan Macho, Climent Nadeu
ICCV
2011
IEEE
12 years 7 months ago
Domain Adaptation for Object Recognition: An Unsupervised Approach
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
Raghuraman Gopalan, Ruonan Li, Rama Chellappa
ALT
2010
Springer
13 years 9 months ago
Towards General Algorithms for Grammatical Inference
Many algorithms for grammatical inference can be viewed as instances of a more general algorithm which maintains a set of primitive elements, which distributionally define sets of ...
Alexander Clark