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IDA
2002
Springer
15 years 3 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
102
Voted
ICONIP
2009
15 years 1 months ago
A Rock Structure Recognition System Using FMI Images
Formation Micro Imager (FMI) can directly reflect changes of wall stratum and rock structures. It is also an important method to divide stratum and identify lithology. However, peo...
Xu-Cheng Yin, Qian Liu, Hong-Wei Hao, Zhi-Bin Wang...
MCS
2010
Springer
15 years 5 months ago
Tomographic Considerations in Ensemble Bias/Variance Decomposition
Abstract. Classifier decision fusion has been shown to act in a manner analogous to the back-projection of Radon transformations when individual classifier feature sets are non o...
David Windridge
ICIP
2001
IEEE
16 years 5 months ago
A comparison of discrete and continuous output modeling techniques for a pseudo-2D hidden Markov model face recognition system
Face recognition has become an important topic within the field of pattern recognition and computer vision. In this field a number of different approaches to feature extraction, m...
Frank Wallhoff, Stefan Eickeler, Gerhard Rigoll
ECCV
2006
Springer
16 years 5 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...