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» A Case Study for Learning from Imbalanced Data Sets
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WER
2004
Springer
15 years 11 months ago
Structural Testing with Use Cases
Understanding how a user interacts with a system is important if the goal is to deliver a product that meets the user's needs. Use cases constitute a primary source of require...
Adriana Carniello, Mario Jino, Marcos Lordello Cha...
AAAI
2000
15 years 7 months ago
Self-Supervised Learning for Visual Tracking and Recognition of Human Hand
Due to the large variation and richness of visual inputs, statistical learning gets more and more concerned in the practice of visual processing such as visual tracking and recogn...
Ying Wu, Thomas S. Huang
PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
15 years 11 months ago
Separating Structure from Interestingness
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
Taneli Mielikäinen
SAC
2010
ACM
15 years 24 days ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
ICRA
2006
IEEE
146views Robotics» more  ICRA 2006»
16 years 3 days ago
Towards 3D Motion Estimation from Deformable Surfaces
— Estimating the pose of an imaging sensor is a central research problem. Many solutions have been proposed for the case of a rigid environment. In contrast, we tackle the case o...
Adrien Bartoli