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» A Variational Approach to Learning Curves
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ECCV
2008
Springer
14 years 10 months ago
Illumination and Person-Insensitive Head Pose Estimation Using Distance Metric Learning
Head pose estimation is an important task for many face analysis applications, such as face recognition systems and human computer interactions. In this paper we aim to address the...
Xianwang Wang, Xinyu Huang, Jizhou Gao, Ruigang Ya...
PKDD
2009
Springer
175views Data Mining» more  PKDD 2009»
14 years 3 months ago
Latent Dirichlet Bayesian Co-Clustering
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey
SSPR
2004
Springer
14 years 1 months ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja
ICML
2007
IEEE
14 years 9 months ago
Quantum clustering algorithms
By the term "quantization", we refer to the process of using quantum mechanics in order to improve a classical algorithm, usually by making it go faster. In this paper, ...
Esma Aïmeur, Gilles Brassard, Sébastie...
ECCV
2006
Springer
14 years 10 months ago
Tracking Objects Across Cameras by Incrementally Learning Inter-camera Colour Calibration and Patterns of Activity
This paper presents a scalable solution to the problem of tracking objects across spatially separated, uncalibrated, non-overlapping cameras. Unlike other approaches this technique...
Andrew Gilbert, Richard Bowden