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» Unsupervised Recursive Sequence Processing
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ESANN
2003
13 years 6 months ago
Unsupervised Recursive Sequence Processing
We propose a self organizing map (SOM) for sequences by extending standard SOM by two features, the recursive update of Sperduti [7] and the hyperbolic neighborhood of Ritter [5]. ...
Marc Strickert, Barbara Hammer
ICIP
1999
IEEE
14 years 6 months ago
Unsupervised Progressive Parsing of Poisson Fields Using Minimum Description Length, Criteria
This paper describes novel methods for estimating piecewise homogeneous Poisson elds based on minimum description length (MDL) criteria. By adopting a coding-theoretic approach, o...
Mário A. T. Figueiredo, Robert D. Nowak
ICPR
2000
IEEE
13 years 9 months ago
Unsupervised Segmentation of Poisson Data
This paper describes a new approach to the analysis of Poisson point processes, in time (1D) or space (2D), which is based on the minimum description length (MDL) framework. Speci...
Robert D. Nowak, Mário A. T. Figueiredo
ESANN
2004
13 years 6 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain
ECCV
2008
Springer
14 years 6 months ago
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...