Real-Time, Local Spline Interpolation Schemes on Bounded Intervals
We develop a local polynomial spline interpolation scheme for arbitrary spline order on bounded intervals. Our method's local formulation, effective boundary considerations and optimal interpolation error rate make it particularly useful for real ...
Maria D Van Der Walt
core
Face-mask-aware Facial Expression Recognition based on Face Parsing and Vision Transformer. [PDF]
Yang B +6 more
europepmc +1 more source
Shape Preserving Properties and Convergence of Univariate Multiquadric Quasi-Interpolation
: With a suitable modification at the endpoints of the range, quasi--interpolation with univariate multiquadrics OE(x) = p c 2 + x 2 is shown to preserve convexity and monotonicity. If h is the maximum distance of centres, convergence of the quasi--
Schaback, Robert +3 more
core +1 more source
Latent Transformer Models for out-of-distribution detection. [PDF]
Graham MS +14 more
europepmc +1 more source
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer's disease. [PDF]
Liu H +5 more
europepmc +1 more source
Learning via variably scaled kernels. [PDF]
Campi C, Marchetti F, Perracchione E.
europepmc +1 more source
Optimal cubic Lagrange interpolation: Extremal node systems with minimal Lebesgue constant [PDF]
In the theory of interpolation of continuous functions by algebraic polynomials of degree at most n − 1 > 2, the search for explicit analytic expressions of extremal node systems which lead to the minimal Lebesgue constant is still an intriguing topic in
RACK, Heinz-Joachim, VAJDA, Robert
core
Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation. [PDF]
Bhattarai B +4 more
europepmc +1 more source
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging. [PDF]
Ostmeier S +13 more
europepmc +1 more source
Symmetries of Linear Functionals
It is shown that a linear functional on a space of functions can be described by G, a group of its symmetries, together with the restriction of to certain G-invariant functions. This simple consequence of invariant theory has long been used, implicitly,
Shayne Waldron
core

