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» Sampling Methods for Unsupervised Learning
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ICPR
2010
IEEE
15 years 4 months ago
Temporal Extension of Laplacian Eigenmaps for Unsupervised Dimensionality Reduction of Time Series
—A novel non-linear dimensionality reduction method, called Temporal Laplacian Eigenmaps, is introduced to process efficiently time series data. In this embedded-based approach,...
Michal Lewandowski, Jesus Martinez-Del-Rincon, Dim...
ICML
2008
IEEE
16 years 3 months ago
Nearest hyperdisk methods for high-dimensional classification
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
Hakan Cevikalp, Bill Triggs, Robi Polikar
EMNLP
2009
15 years 4 days ago
A Simple Unsupervised Learner for POS Disambiguation Rules Given Only a Minimal Lexicon
We propose a new model for unsupervised POS tagging based on linguistic distinctions between open and closed-class items. Exploiting notions from current linguistic theory, the sy...
Qiuye Zhao, Mitch Marcus
CAIP
2009
Springer
130views Image Analysis» more  CAIP 2009»
15 years 6 months ago
Performance Prediction for Unsupervised Video Indexing
Recently, performance prediction has been successfully applied in the field of information retrieval for content analysis and retrieval tasks. This paper discusses how performance ...
Ralph Ewerth, Bernd Freisleben
AAAI
2008
15 years 4 months ago
Unsupervised Categorization (Filtering) of Google Images Based on Visual Consistency
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
Pooyan Fazli, Ara Bedrosian