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PAMI
2011
13 years 4 months ago
Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
Ke Chen, Shihai Wang
PAMI
2011
13 years 4 months ago
Multiple Kernel Learning for Dimensionality Reduction
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
SAC
2011
ACM
13 years 4 months ago
Slice sampling mixture models
We propose a more efficient version of the slice sampler for Dirichlet process mixture models described by Walker (2007). This sampler allows the fitting of infinite mixture mod...
Maria Kalli, Jim E. Griffin, Stephen G. Walker
TDSC
2011
13 years 4 months ago
CASTLE: Continuously Anonymizing Data Streams
— Most of existing privacy preserving techniques, such as k-anonymity methods, are designed for static data sets. As such, they cannot be applied to streaming data which are cont...
Jianneng Cao, Barbara Carminati, Elena Ferrari, Ki...
FGR
2011
IEEE
176views Biometrics» more  FGR 2011»
13 years 1 months ago
Prop-free pointing detection in dynamic cluttered environments
Abstract—Vision-based prop-free pointing detection is challenging both from an algorithmic and a systems standpoint. From a computer vision perspective, accurately determining wh...
Pyry Matikainen, Padmanabhan Pillai, Lily B. Mumme...