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ICANN
2007
Springer
15 years 6 months ago
Resilient Approximation of Kernel Classifiers
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
Thorsten Suttorp, Christian Igel
96
Voted
PRL
1998
132views more  PRL 1998»
15 years 2 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal
142
Voted
MOBIHOC
2009
ACM
16 years 3 months ago
Spectrum auction framework for access allocation in cognitive radio networks
Cognitive radio networks are emerging as a promising technology for the efficient use of radio spectrum. In these networks, there are two categories of networks on different chann...
Gaurav S. Kasbekar, Saswati Sarkar
ICIP
2006
IEEE
16 years 4 months ago
Efficient Object-Based Video Inpainting
Video inpainting is the process of repairing missing regions (holes) in videos. Most automatic techniques are computationally intensive and unable to repair large holes. To tackle...
Sen-Ching S. Cheung, Jian Zhao, M. Vijay Venkatesh
127
Voted
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 3 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi