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» Using Anonymized Data for Classification
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MVA
2000
122views Computer Vision» more  MVA 2000»
15 years 4 months ago
Unsupervised Classification of X-Ray Mapping Images of Polished Sections
X-ray mapping images of polished sections are classified using two unsupervised clustering algorithms. The methods applied are the k-means algorithm and an extended spectral fuzzy...
Klaus Baggesen Hilger, Allan Aasbjerg Nielsen, Jen...
135
Voted
IGARSS
2009
15 years 1 months ago
Classification Performance of Random-projection-based Dimensionality Reduction of Hyperspectral Imagery
High-dimensional data such as hyperspectral imagery is traditionally acquired in full dimensionality before being reduced in dimension prior to processing. Conventional dimensiona...
James E. Fowler, Qian Du, Wei Zhu, Nicolas H. Youn...
INTERSPEECH
2010
14 years 10 months ago
Predicting human perception and ASR classification of word-final [t] by its acoustic sub-segmental properties
This paper presents a study on the acoustic sub-segmental properties of word-final /t/ in conversational standard Dutch and how these properties contribute to whether humans and a...
Barbara Schuppler, Mirjam Ernestus, Wim A. van Dom...
99
Voted
ICASSP
2011
IEEE
14 years 7 months ago
A hierarchical static-dynamic framework for emotion classification
The goal of emotion classification is to estimate an emotion label, given representative data and discriminative features. Humans are very good at deriving high-level representat...
Emily Mower, Shrikanth Narayanan
110
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals
Brain-Computer Interfaces (BCIs) allow a user to control a computer application by brain activity as acquired, e.g., by EEG. A standard step in a BCI system is to project the EEG ...
Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Ka...