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» Anytime Algorithm for Feature Selection
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123
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NIPS
2007
15 years 3 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
DSP
2006
15 years 2 months ago
Detection of audio covert channels using statistical footprints of hidden messages
We address the problem of detecting the presence of hidden messages in audio. The detector is based on the characteristics of the denoised residuals of the audio file, which may c...
Hamza Özer, Bülent Sankur, Nasir D. Memo...
125
Voted
ICPR
2006
IEEE
16 years 3 months ago
Vessel Segmentation in 2D-Projection Images Using a Supervised Linear Hysteresis Classifier
2D projection imaging is a widely used procedure for vessel visualization. For the subsequent analysis of the vasculature, precise measurements of e.g. vessel area, vessel length ...
Alexandru Condurache, Til Aach
101
Voted
KDD
2006
ACM
150views Data Mining» more  KDD 2006»
16 years 2 months ago
Maximally informative k-itemsets and their efficient discovery
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Arno J. Knobbe, Eric K. Y. Ho
ICML
2009
IEEE
16 years 3 months ago
More generality in efficient multiple kernel learning
Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning tasks. The development of efficient gradient desce...
Manik Varma, Bodla Rakesh Babu