… method for sensor drift compensation in the electronic nose. … is alleviated via projecting all
the data into a common subspace. (… learning methods for anti-drift in electronic noses are firstly …

… problem of enose in subspace, we plotted two-dimensional (2-D) scatter distribution after …
Anti-drift in electronic nose via dimensionality reduction: A discriminative subspace projection …

… dimensionality reduction and learn a set of subspaces as … -short-term anti-drift performance
of LME-CDSL via Dataset A, we … Enose systems with cross-domain discriminative subspace …

… For the latter category, Yi presented a discriminative dimensionality reduction method for …
the related projected samples P T x t ∙ i and P T x t ∙ j to approach, through the minimization of …

… In [44], the authors proposed a sensor drift correction method based on discriminative
subspace projection to deal with the sensor drift problem. In [45], the authors employed manifold …

… Recently, Yi [14] compensated the drift/shift of E-nose systems through discriminative dimension
reduction using a … Zhou, “Anti-drift in E-nose: A subspace projection approach with drift …

… We aim to learn an adaptive discriminant subspace to correct the difference in the data …
Additionally, we should avoid cases where the projection β distorts these two datasets so …

… a local discriminant subspace learning method (LDSP) with local Fisher discriminant analysis.
… In this step, we aim to find a projection matrix β that reduces the correlation between the …

… , and sparse discriminative dimensionality reduction method [… projection (LPP) [13], a
common dimensionality reduction … Anti-drift in E-nose: A subspace projection approach with drift …

… of our proposed anti-drift methodology when juxtaposed with state-of-the-art techniques. …
prediction vector is utilized as the migration weight for the input of the domain discriminant …