658 search results - page 77 / 132 » Minimally-Supervised Classification using Multiple Observati... |
AAAI
2000
15 years 1 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
105
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PERCOM
2007
ACM
15 years 11 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
116
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JMLR
2008
14 years 11 months ago
2008
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
CVPR
2008
IEEE
2008
IEEE
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
16 years 1 months ago
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
CVPR
2010
IEEE
15 years 4 months ago
2010
IEEE
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...