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» Automated Approaches for Classifying Structures
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178
Voted
TIP
2010
165views more  TIP 2010»
14 years 10 months ago
A Novel Approach to FRUC Using Discriminant Saliency and Frame Segmentation
Motion-Compensated Frame Interpolation (MCFI) is a technique used extensively for increasing the temporal frequency of a video sequence. In order to obtain a high quality interpola...
Natan Jacobson, Yen-Lin Lee, Vijay Mahadevan, Nuno...
129
Voted
FGR
2011
IEEE
206views Biometrics» more  FGR 2011»
14 years 7 months ago
A SSIM-based approach for finding similar facial expressions
— There are various scenarios where finding the most similar expression is the requirement rather than just classifying one, for example, facial expression transfer and facial e...
Abhinav Dhall, Akshay Asthana, Roland Goecke
119
Voted
EVOW
2007
Springer
15 years 7 months ago
Classification of Cell Fates with Support Vector Machine Learning
In human mesenchymal stem cells the envelope surrounding the nucleus, as visualized by the nuclear lamina, has a round and flat shape. The lamina structure is considerably deformed...
Ofer M. Shir, Vered Raz, Roeland W. Dirks, Thomas ...
134
Voted
ICPR
2008
IEEE
15 years 10 months ago
Grading nuclear pleomorphism on histological micrographs
A mainstay in cancer diagnostics is the classification or grading of cell nuclei based on their appearance. While the analysis of cytological samples has been automated successful...
Eric Cosatto, Matthew Miller, Hans Peter Graf, Joh...
184
Voted
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
15 years 7 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...