30 papers:
ICML-c2-2014-ChenWSB- Marginalized Denoising Auto-encoders for Nonlinear Representations (MC, KQW, FS, YB), pp. 1476–1484.
ICPR-2014-WangT #classification- Label-Denoising Auto-encoder for Classification with Inaccurate Supervision Information (DW, XT), pp. 3648–3653.
ICDAR-2013-NafchiMC #documentation #image- Application of Phase-Based Features and Denoising in Postprocessing and Binarization of Historical Document Images (HZN, RFM, MC), pp. 220–224.
ICML-c1-2013-KarbasiSS #learning- Iterative Learning and Denoising in Convolutional Neural Associative Memories (AK, AHS, AS), pp. 445–453.
ICML-c3-2013-Cho #image- Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images (KC), pp. 432–440.
ICML-2012-ChenXWS #adaptation- Marginalized Denoising Autoencoders for Domain Adaptation (MC, ZEX, KQW, FS), p. 212.
ICPR-2012-LamSS #image #statistics #using- Denoising hyperspectral images using spectral domain statistics (AL, IS, YS), pp. 477–480.
ICPR-2012-MudugamuwaHJ #image- Battle-Lemarie wavelet pyramid for improved GSM image denoising (DJM, XH, WJ), pp. 3156–3159.
ICPR-2012-ShiraiOI #component #composition #image- Color-line vector field and local color component decomposition for smoothing and denoising of color images (KS, MO, MI), pp. 3050–3053.
ICPR-2012-SunBM #learning- Unsupervised skeleton learning for manifold denoising (KS, EB, SMM), pp. 2719–2722.
ICPR-2010-BouboulisTS #image #kernel- Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces (PB, ST, KS), pp. 2660–2663.
ICPR-2010-Martin-HerreroF #classification #question- Tensor-Driven Hyperspectral Denoising: A Strong Link for Classification Chains? (JMH, MFA), pp. 2820–2823.
ICPR-2010-PrabhuR #recursion #video- Recursive Video Matting and Denoising (SMP, ANR), pp. 4524–4527.
ICPR-2010-SaeediMA #dependence #fuzzy #image- Image Denoising Based on Fuzzy and Intra-scale Dependency in Wavelet Transform Domain (JS, MHM, AA), pp. 2672–2675.
ICML-2008-VincentLBM #robust- Extracting and composing robust features with denoising autoencoders (PV, HL, YB, PAM), pp. 1096–1103.
ICPR-2008-GaoCY #modelling #process- Manifold denoising with Gaussian Process Latent Variable Models (YG, KLC, WYY), pp. 1–4.
ICPR-2008-GhoniemCE #graph #video- Video denoising via discrete regularization on graphs (MG, YC, AE), pp. 1–4.
ICPR-v3-2006-GinnekenM #image #nearest neighbour- Image Denoising with k-nearest Neighbor and Support Vector Regression (BvG, AM), pp. 603–606.
ICPR-v3-2006-ScheundersB #component #image #multi #using- Wavelet denoising of multicomponent images, using a Gaussian Scale Mixture model (PS, SDB), pp. 754–757.
ICPR-v3-2006-TaiTT #2d #image #multi- Simultaneous Image Denoising and Compression by Multiscale 2D Tensor Voting (YWT, WST, CKT), pp. 818–821.
ICPR-v3-2006-WuR #adaptation #image- Combining Adaptive PDE and Wavelet Shrinkage in Image Denoising with Edge Enhancing Property (JW, QR), pp. 718–721.
ICDAR-2005-EglinBRE #biology #categorisation #tool support- Biological inspired Tools for Patrimonial Handwriting Denoising and Categorization (VE, SB, CR, HE), pp. 59–63.
ICPR-v2-2004-FeiginS #adaptation #functional #segmentation- Segmentation and Denoising via an Adaptive Threshold Mumford-Shah-like Functional (MF, NAS), pp. 98–101.
ICPR-v4-2004-BoubchirFB #approximate #using- Bayesian Denoising in the Wavelet-Domain Using an Analytical Approximate a-Stable Prior (LB, MJF, DB), pp. 889–892.
ICPR-v4-2004-ShettyR #classification #detection #modelling- An Undecimated Wavelet Transform Based Denoising, PPCA Based Pulse Modeling and Detection-Classification of PD Signals (PKS, TSR), pp. 873–876.
ICPR-v4-2004-TanCZ #image #kernel #metric #robust #using- Robust Image Denoising Using Kernel-Induced Measures (KT, SC, DZ), pp. 685–688.
ICDAR-2003-FanFT #documentation #image- Wavelet Diffusion for Document Image Denoising (LF, LF, CLT), pp. 1188–1192.
ICPR-v3-2002-PawlakR #image- Non-Linear Local Harmonic Filters For Edge-Preserving Image Denoising (MP, ER), pp. 895–897.
ICPR-v3-2000-LuJ #approach #image- A New Bayesian Approach to Image Denoising with a Combination of MRFs and Pixon Method (QL, TJ), pp. 3734–3737.
ICPR-1996-StoschekYH #2d #detection #invariant #multi #robust #using- Rotation-invariant and robust multiple-2D-object detection using steerable pyramid denoising and optimized circular harmonic filters (AS, TPYY, RH), pp. 376–380.