Stem riemannian$ (all stems)

12 papers:

ICML-2015-LeC #learning #metric #using

Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations (TL, MC), pp. 2002–2011.

ICML-c2-2014-TanTWVP #matrix

Riemannian Pursuit for Big Matrix Recovery (MT, IWT, LW, BV, SJP), pp. 1539–1547.

ICPR-2014-ChevallierCA #estimation #image #metric #orthogonal #using

Computing Histogram of Tensor Images Using Orthogonal Series Density Estimation and Riemannian Metrics (EC, AC, JA), pp. 900–905.

ICPR-2014-GousenbourgerSA #2d

Piecewise-Bézier C1 Interpolation on Riemannian Manifolds with Application to 2D Shape Morphing (PYG, CS, PAA), pp. 4086–4091.

ICML-c3-2013-Cheng #learning #similarity

Riemannian Similarity Learning (LC), pp. 540–548.

ICML-2011-MeyerBS #approach #constraints #linear

Linear Regression under Fixed-Rank Constraints: A Riemannian Approach (GM, SB, RS), pp. 545–552.

ICPR-2010-CaseiroHB #modelling #segmentation

Foreground Segmentation via Background Modeling on Riemannian Manifolds (RC, JFH, JB), pp. 3570–3574.

ICPR-2010-LenzMC #composition #geometry

Iwasawa Decomposition and Computational Riemannian Geometry (RL, RM, JC), pp. 4472–4475.

ICPR-2010-TosatoFCM #detection

A Re-evaluation of Pedestrian Detection on Riemannian Manifolds (DT, MF, MC, VM), pp. 3308–3311.

ICPR-2008-WuWLL #probability

Probabilistic tracking on Riemannian manifolds (YW, BW, JL, HL), pp. 1–4.

ICPR-v3-2006-ShanZSCG #image

A Riemannian Weighted Filter for Edge-sensitive Image Smoothing (SS, WZ, YS, XC, WG), pp. 590–593.

ICPR-v3-2006-ZhangH #image

A Riemannian Weighted Filter for Edge-sensitive Image Smoothing (FZ, ERH), pp. 594–598.