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84168251335 · Jun 202019922001200920172026
48 results for weighted projection

In this paper, we introduce the weighted projective Ricci curvature as an extension of projective Ricci curvature introduced by Z. Shen. We characterize the class of Randers metrics of weighted projective Ricci flat curvature. We find the necessary and sufficient condition under which a Kropina metric has weighted proj…

2019-08-26abs ↗pdf ↗

Researchers extend asymptotic analysis to Bergman projections with Gevrey weights.

problem Analyzing Bergman projections with Gevrey weights.
method Extending direct approach to semiclassical asymptotics to Gevrey weights using Fourier integral operators.
result Gevrey symbol amplitude of asymptotic Bergman projection with Gevrey weights and Gevrey-type growth rate.

Smooth superspace with special weights has a Fubini-Study form.

problem Describing a new smooth superspace with a special structure.
method Construction of weighted projective superspace and description of its structure.
result Smooth superspace with weights +1,1+1, -1 has an analog of the Fubini-Study form.

Optimal weight windows are found by projecting the origin onto a convex polytope.

problem Finding the best weight windows for a weighted moving average smoother.
method Formulated as a quadratic program and projection onto a convex polytope.
result Optimal weight windows are symmetrical and decrease in weight away from the center.

Three new efficient algorithms project vectors onto weighted l1 ball.

problem Sparse system identification and feature selection.
method Projected gradient descent algorithms with linear or highly competitive quadratic worst case complexities.
result Efficient tools for machine learning methods like compress sensing and feature selection.

Weil-Petersson volumes vary continuously with weighted points on a projective line.

problem Continuity of Weil-Petersson volumes in moduli space with weighted points.
method Localization and geometric computation methods.
result CM volume converges to geometric volume as weights approach Calabi-Yau geometry.

In this work we study some problems related with algebraic hypersurfaces invariant by foliations on weighted projective spaces PC(ϖ0,...,ϖn)\mathbb{P}_{\mathbb{C}}(\varpi_0,...,\varpi_n) generalizing some results known for $\p$, as for example: the number of singularities, with multiplicities, contained in the invariant quasi-smo…

2009-01-13abs ↗pdf ↗

We construct the first examples of families of bad Riemannian orbifolds which are isospectral with respect to the Laplacian but not isometric. In our case these are particular fixed weighted projective spaces equipped with isospectral metrics obtained by a generalization of Schüth's version of the torus method.

2010-04-08abs ↗pdf ↗

Improved Q-learning for multi-agent reinforcement learning by weighting joint action values.

problem QMIX restricts QQ-values to monotonic mixtures, limiting complex value functions.
method Introduced weighted projection to recover optimal policies, improving performance.
result CW QMIX and OW QMIX outperform baseline QMIX on multi-agent tasks.

A new metric framework for weighted projective spaces improves clustering and analysis.

problem Proximity measurement in weighted projective spaces with intrinsic scaling and topology.
method Hierarchical clustering framework based on Finsler geometry, quotienting weighted scaling action.
result The constructed metric dFd_F satisfies the triangle inequality, making it a genuine metric.

Study on volumes of random inscribed polytopes in projective geometries.

problem Estimating volumes of random inscribed polytopes in projective geometries.
method Central limit theorems and normal approximation for volumes and dual volumes of random inscribed polytopes.
result Established central limit theorems and normal approximation for volumes and dual volumes of random inscribed polytopes.

Formula for sl2\mathfrak{sl}_2 weight system on complete bipartite graphs.

problem Computing values of sl2\mathfrak{sl}_2 weight system for chord diagrams.
method Chmutov-Varchenko recurrence relation, Hopf algebra projections.
result Computed values for chord diagrams with complete bipartite intersection graphs.

Extends illumination bodies to non-Euclidean spaces and proves their volume derivative defines surface area.

problem Defining surface area in non-Euclidean geometries.
method Generalizes illumination bodies to Riemannian spaces of constant curvature and projective Finsler geometries, proving their volume derivative defines surface area.
result Derivative of volume of illumination bodies defines surface area in non-Euclidean geometries.

It is shown that a (curved) projective structure on a smooth manifold determines on the Poisson algebra of smooth, fiberwise-polynomial functions on the cotangent bundle a one-parameter family of graded star products. For a particular value of the parameter (corresponding to half-densities) the star product is symmetri…

2005-04-29abs ↗pdf ↗

New method decomposes local projections to reveal historical drivers of estimates.

problem Uncertainty in interpreting local projections due to black-box nature.
method Decomposes LP estimates into contributions of historical events, interpreting weights as shocks and proximity scores.
result Dominant historical events drive impulse response estimates, revealing underlying mechanisms.

New method stabilizes FQE by reweighting Bellman targets.

problem Stability guarantees for FQE often rely on Bellman completeness, which can fail with function approximation.
method Proposes stationary-weighted FQE, reweighting Bellman targets by stationary target-to-behavior density ratio.
result Proves finite-sample linear convergence to stationary projected Bellman fixed point without Bellman completeness.

We discuss the Morse estimates for the curvature of several metrics on Semple weighted projective bundle over a projective variety. Following Demailly works on holomorphic Morse inequalities we show an analogue of his results along the Green-Griffiths conjecture for invariant jets.

2016-12-23abs ↗pdf ↗

Model projection transfers convolutional network properties to feedforward networks.

problem Transferring properties between feedforward and convolutional networks.
method Unified node-level framework with tensor-valued activations, model projection.
result Projected CNN nodes inherit GFFN-style trainable structure.

Study links K-stability of certain surfaces to binary forms, proving stability and non-stability conditions.

problem Investigating K-stability of specific del Pezzo surfaces.
method Relating K-stability to GIT stability of binary forms, proving stability and non-stability conditions.
result K-polystability and non-K-stability of quasi-smooth hypersurfaces.

Which properties of an orbifold can we ``hear,'' i.e., which topological and geometric properties of an orbifold are determined by its Laplace spectrum? We consider this question for a class of four-dimensional Kähler orbifolds: weighted projective planes $M:=\C P^2(N_1,N_2,N_3)$ with three isolated singularities. We s…

2006-08-18abs ↗pdf ↗

Toeplitz operators linked to submultiplicative filtrations and weighted Bergman kernels.

problem Analyzing the asymptotics of weighted Bergman kernels for submultiplicative filtrations.
method Demonstrated that weight operator is a Toeplitz operator; analyzed asymptotics of weighted Bergman kernels.
result Local refinement of convergence of jumping measures towards geodesic ray pushforward measure.

Sharp-SSL uses random projections to identify important variables for semi-supervised learning.

problem High-dimensional semi-supervised learning problems.
method Careful aggregation of low-dimensional results from many axis-aligned random projections.
result Sharp-SSL algorithm can recover signal coordinates with high probability.

Classifies degenerations of complex projective plane with rational singularities.

problem Classifying singularities of complex projective plane.
method Assuming Wahl's conjecture, classifies degenerations using rational homology disk smoothing.
result Classifies surfaces with rational singularities, including new degenerations with non-log canonical singularities.

Rare data in a large-scale database are called outliers that reveal significant information in the real world. The subspace-based outlier detection is regarded as a feasible approach in very high dimensional space. However, the outliers found in subspaces are only part of the true outliers in high dimensional space, in…

2014-05-05abs ↗pdf ↗

Characterizes closures of mapping class group orbits on non-orientable surfaces.

problem Understanding closures of orbits in Teichmüller spaces for non-orientable surfaces.
method Analyzes closures in ML\mathcal M\mathcal L and PML\mathcal P\mathcal M\mathcal L for measured laminations, projective measured laminations, and points.
result Characterizes closures of weighted two-sided curves in ML\mathcal M\mathcal L.

This paper surveys various methods for dimensionality reduction and nearest neighbor search.

problem Efficiently reducing high-dimensional data to lower dimensions while preserving essential information.
method Linear and nonlinear random projections, including sparse random projections, random Fourier Features, and Random Kitchen Sinks.
result Various methods for dimensionality reduction and nearest neighbor search are explained and compared.

We prove the existence and uniqueness of a *projectively equivariant symbol map*, which is an isomorphism between the space of bidifferential operators acting on tensor densities over RnR^n and that of their symbols, when both are considered as modules over an imbedding of sl(n+1,R)sl(n+1,\R) into polynomial vector fields. Th…

2000-06-07abs ↗pdf ↗

Given a weighted line arrangement in the projective plane, with weights satisfying natural constraint conditions, we show the existence of a Ricci-flat Kähler metric with cone singularities along the lines asymptotic to a polyhedral Kähler cone at each multiple point. Moreover, we discuss a Chern-Weil formula that expr…

2017-12-21abs ↗pdf ↗

The paper generalizes K-stability results to singular and weighted settings.

problem Generalizing K-stability to singular and weighted settings.
method Generalization of results in \cite{Li22a} to singular and weighted settings.
result The \(\mathbb{G}\)-uniform weighted K-stability for models implies \(\mathbb{G}\)-coercivity of the weighted Mabuchi functional.