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» Finding Minimum Data Requirements Using Pseudo-independence
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16 years 10 months ago
Multi-Class Active Learning for Image Classification
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
CVPR
1997
IEEE
15 years 7 months ago
Empirical Bayesian EM-based Motion Segmentation
A recent trend in motion-based segmentation has been to rely on statistical procedures derived from ExpectationMaximization (EM) principles. EM-based approaches have various attra...
Nuno Vasconcelos, Andrew Lippman
ICIS
2000
15 years 4 months ago
Personalization of search engine services for effective retrieval and knowledge management
The Internet and corporate intranets provide far more information than anybody can absorb. People use search engines to find the information they require. However, these systems t...
Weiguo Fan, Michael D. Gordon, Praveen Pathak
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
15 years 4 months ago
Support vector machine classifiers for sequential decision problems
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
Eladio Rodriguez Diaz, David A. Castaon
ANOR
2010
75views more  ANOR 2010»
15 years 3 months ago
A new methodology for studying the equity premium
This paper provides a new framework for the derivation and estimation of consumption and the equity premium functions. The novelty in our approach is that it does not require the ...
Elie Appelbaum, Parantap Basu