This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algori...
Abstract. Modern morphometric studies use non-linear image registration to compare anatomies and perform group analysis. Recently, logEuclidean approaches have contributed to promo...
Tom Vercauteren, Xavier Pennec, Aymeric Perchant...
The paper investigates parameterized approximate message-passing schemes that are based on bounded inference and are inspired by Pearl’s belief propagation algorithm (BP). We st...
Robert Mateescu, Kalev Kask, Vibhav Gogate, Rina D...
To obtain a quantitative assessment of the state of automatic face recognition, we performed a metaanalysis of performance results of face recognition algorithms in the literature...
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...