Modelling Core Inflation for the UK Using a New Dynamic Factor Estimation Method and a Large Disaggregated Price Index Dataset [PDF]
Recent work in the macroeconometric literature considers the problem of summarising efficiently a large set of variables and using this summary for a variety of purposes including forecasting.
George Kapetanios
core
Semi‐supervised domain adaptation via subspace exploration
Recent methods of learning latent representations in Domain Adaptation (DA) often entangle the learning of features and exploration of latent space into a unified process.
Zheng Han +5 more
doaj +1 more source
Subspace-Based Holistic Registration for Low-Resolution Facial Images
Subspace-based holistic registration is introduced as an alternative to landmark-based face registration, which has a poor performance on low-resolution images, as obtained in camera surveillance applications.
Boom BJ, Spreeuwers LJ, Veldhuis RNJ
doaj
Maximum-entropy and subspace methods for high-resolution relaxation-diffusion distribution estimation. [PDF]
Ning L.
europepmc +1 more source
The detection and correction of silent errors in pipelined Krylov subspace methods. [PDF]
Carson EC, Hercík J.
europepmc +1 more source
Outlying subspace detection for high-dimensional data
[Conclusion]: This article formulates the outlying subspace detection problem and provides a survey of the existing methods for solving this problem. In particular, it focuses on the metrics used to measure the outlier quality of given data points in ...
Zhang, Ji, Wang, Hai, Gao, Qigang
core
Adaptive behavior is guided by integrated representations of controlled and non-controlled information. [PDF]
Huang B, Ritz H, Jiang J.
europepmc +1 more source
General OOD detection via model-aware and subspace-aware variable priority. [PDF]
Lu M, Ishwaran H.
europepmc +1 more source
Resource-Efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization. [PDF]
Graves V +3 more
europepmc +1 more source
Developmentally defined subcircuits in the hippocampus support spatial learning. [PDF]
Huszár R +6 more
europepmc +1 more source

