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PG
2007
IEEE
14 years 2 months ago
Statistical Hypothesis Testing for Assessing Monte Carlo Estimators: Applications to Image Synthesis
Image synthesis algorithms are commonly compared on the basis of running times and/or perceived quality of the generated images. In the case of Monte Carlo techniques, assessment ...
Kartic Subr, James Arvo
MICCAI
2008
Springer
14 years 9 months ago
Classification of Suspected Liver Metastases Using fMRI Images: A Machine Learning Approach
Abstract. This paper presents a machine-learning approach to the interactive classification of suspected liver metastases in fMRI images. The method uses fMRI-based statistical mod...
Moti Freiman, Yifat Edrei, Yehonatan Sela, Yitz...
WER
2007
Springer
14 years 1 months ago
Exploiting a Goal-Decomposition Technique to Prioritize Non-functional Requirements
Business stakeholders need to have clear and realistic goals if they want to meet commitments in application development. As a consequence, at early stages they prioritize require...
Maya Daneva, Mohamad Kassab, María Laura Po...
ICASSP
2010
IEEE
13 years 8 months ago
Evolutionary spectral clustering with adaptive forgetting factor
Many practical applications of clustering involve data collected over time. In these applications, evolutionary clustering can be applied to the data to track changes in clusters ...
Kevin S. Xu, Mark Kliger, Alfred O. Hero III
ICCV
2011
IEEE
12 years 7 months ago
BRISK: Binary Robust Invariant Scalable Keypoints
Effective and efficient generation of keypoints from an image is a well-studied problem in the literature and forms the basis of numerous Computer Vision applications. Establishe...
Stefan Leutenegger, Margarita Chli, Roland Y. Sieg...