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154
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GECCO
2010
Springer
232views Optimization» more  GECCO 2010»
15 years 3 months ago
Genetic algorithms for automatic classification of moving objects
This paper presents an integrated approach, combining a state-of-the-art commercial object detection system and genetic algorithms (GA)-based learning for automatic object classif...
Omid David-Tabibi, Nathan S. Netanyahu, Yoav Rosen...
102
Voted
ICML
2010
IEEE
15 years 3 months ago
Graded Multilabel Classification: The Ordinal Case
We propose a generalization of multilabel classification that we refer to as graded multilabel classification. The key idea is that, instead of requesting a yes-no answer to the q...
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hül...
152
Voted
ECCV
2010
Springer
15 years 2 months ago
Image Classification Using Super-Vector Coding of Local Image Descriptors
Abstract. This paper introduces a new framework for image classification using local visual descriptors. The pipeline first performs a nonlinear feature transformation on descripto...
Xi Zhou, Kai Yu, Tong Zhang, Thomas S. Huang
113
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CORR
2010
Springer
210views Education» more  CORR 2010»
14 years 9 months ago
Classification with Scattering Operators
A scattering vector is a local descriptor including multiscale and multi-direction co-occurrence information. It is computed with a cascade of wavelet decompositions and complex m...
Joan Bruna, Stéphane Mallat
119
Voted
JMLR
2010
104views more  JMLR 2010»
14 years 9 months ago
How to Explain Individual Classification Decisions
After building a classifier with modern tools of machine learning we typically have a black box at hand that is able to predict well for unseen data. Thus, we get an answer to the...
David Baehrens, Timon Schroeter, Stefan Harmeling,...