Results 61 to 70 of about 2,954,755 (181)

Statistical algorithms for emotion classification via functional connectivity [PDF]

open access: yesJournal of Integrative Neuroscience, 2019
Pattern recognition algorithms decode emotional brain states by using functional connectivity measures which are extracted from EEG signals as input to the statistical classifiers.
Fatemeh Zareayan Jahromy, Atena Bajoulvand, Mohammad Reza Daliri
doaj   +1 more source

Classification via local multi-resolution projections

open access: yes, 2011
We focus on the supervised binary classification problem, which consists in guessing the label $Y$ associated to a co-variate $X \in \R^d$, given a set of $n$ independent and identically distributed co-variates and associated labels $(X_i,Y_i)$.
Monnier, Jean-Baptiste
core   +1 more source

Horizon Classification via Riemannian Flows

open access: yesAnnales Henri Poincaré
We point out that the geometry of connected totally geodesic compact null hypersurfaces in Lorentzian manifolds is only slightly more specialized than that of Riemannian flows over compact manifolds, the latter mathematical theory having been much studied in the context of foliation theory since the work by Reinhart (Ann Math 69:119, 1959). We are then
Raymond A. Hounnonkpe, Ettore Minguzzi
openaire   +2 more sources

Classification and comparison via neural networks

open access: yesNeural Networks, 2019
We consider learning from comparison labels generated as follows: given two samples in a dataset, a labeler produces a label indicating their relative order. Such comparison labels scale quadratically with the dataset size; most importantly, in practice, they often exhibit lower variance compared to class labels.
İlkay Yıldız   +9 more
openaire   +3 more sources

Online Classification via Self-Organizing Space Partitioning [PDF]

open access: yesIEEE Transactions on Signal Processing, 2016
The authors study online supervised learning under the empirical zero-one loss and introduce a novel classification algorithm with strong theoretical guarantees. The proposed method is a highly dynamical self-organizing decision tree structure, which adaptively partitions the feature space into small regions and combines (takes the union of) the local ...
Huseyin Ozkan   +2 more
openaire   +4 more sources

Classification of Multipartite Entanglement via Negativity Fonts

open access: yes, 2012
Partial transposition of state operator is a well known tool to detect quantum correlations between two parts of a composite system. In this letter, the global partial transpose (GPT) is linked to conceptually multipartite underlying structures in a ...
D. Li   +3 more
core   +1 more source

Double affine Hecke algebras and affine flag manifolds, I [PDF]

open access: yes, 2009
This lecture reviews the classification of simple modules of double affine Hecke algebras via the K-theory of Steinberg varieties of affine typeComment: 52 ...
Varagnolo, Michela, Vasserot, Eric
core   +4 more sources

Joint Visual Denoising and Classification using Deep Learning

open access: yes, 2016
Visual restoration and recognition are traditionally addressed in pipeline fashion, i.e. denoising followed by classification. Instead, observing correlations between the two tasks, for example clearer image will lead to better categorization and vice ...
Chen, Gang   +2 more
core   +1 more source

Real-Time Object Classification via Dual-Pixel Measurement

open access: yesSensors
Achieving rapid and accurate object classification holds significant importance in various domains. However, conventional vision-based techniques suffer from several limitations, including high data redundancy and strong dependence on image quality.
Jianing Yang   +5 more
doaj   +1 more source

Editorial: VIA Character Strengths: Theory, Research and Practice

open access: yesFrontiers in Psychology, 2021
Hadassah Littman-Ovadia   +3 more
doaj   +1 more source

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