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» A Training Method with Small Computation for Classification
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DAGSTUHL
2006
13 years 10 months ago
A System for Object Class Detection
A successful detection and classification system must have two properties: it should be general enough to compensate for intra-class variability and it should be specific enough to...
Daniela Hall
AAAI
2006
13 years 10 months ago
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
Yi Liu, Rong Jin, Liu Yang
CHI
2006
ACM
14 years 9 months ago
Estimating human interruptibility in the home for remote communication
This paper presents a method for automatically estimating human interruptibility in home environments. To make online remote communication smoother, determining if it is appropria...
Yoshinao Takemae, Takehiko Ohno, Ikuo Yoda, Shinji...
KES
2004
Springer
14 years 2 months ago
Semi-supervised Learning from Unbalanced Labeled Data - An Improvement
Abstract. We present a possibly great improvement while performing semisupervised learning tasks from training data sets when only a small fraction of the data pairs is labeled. In...
Te Ming Huang, Vojislav Kecman
ICCV
2007
IEEE
14 years 11 months ago
3D object recognition from range images using pyramid matching
Recognition of 3D objects from different viewpoints is a difficult problem. In this paper, we propose a new method to recognize 3D range images by matching local surface descripto...
Xinju Li, Igor Guskov