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» Robust Learning - Rich and Poor
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123
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ECCV
2008
Springer
16 years 3 months ago
Learning to Recognize Activities from the Wrong View Point
Appearance features are good at discriminating activities in a fixed view, but behave poorly when aspect is changed. We describe a method to build features that are highly stable u...
Ali Farhadi, Mostafa Kamali Tabrizi
120
Voted
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
15 years 7 months ago
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles
HICSS
1998
IEEE
136views Biometrics» more  HICSS 1998»
15 years 6 months ago
Application of Technology and Asynchronous Learning Networks in Large Lecture Classes
The evolution of the computer-assisted personalized approach (CAPA) system and its use in large lecture classes is described. Further individual student contact in these large cla...
M. Thoennessen, E. Kashy, Y. Tsai, N. E. Davis
FLAIRS
2006
15 years 3 months ago
Machine Learning for Imbalanced Datasets: Application in Medical Diagnostic
In this paper, we present a new rule induction algorithm for machine learning in medical diagnosis. Medical datasets, as many other real-world datasets, exhibit an imbalanced clas...
Luis Mena, Jesus A. Gonzalez
114
Voted
ICPR
2010
IEEE
15 years 3 months ago
SemiCCA: Efficient Semi-Supervised Learning of Canonical Correlations
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
Akisato Kimura, Hirokazu Kameoka, Masashi Sugiyama...