## 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.