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https://deepai.org/publication/star-spatio-temporal-altimeter-waveform-retracking-using-sparse-representation-and-conditional-random-fields STAR: Spatio-Temporal Altimeter Waveform Retracking using Sparse Representation and Conditional... Sep 22, 2017 - 09/22/17 - Satellite radar altimetry is one of the most powerful techniques for measuring sea surface height variations, with applications ra... sparse representation star spatio temporal altimeter https://openreview.net/forum?id=QmJ1KbzYZj-&referrer=%5Bthe%20profile%20of%20Liqiang%20Lin%5D(%2Fprofile%3Fid%3D~Liqiang_Lin1) ShapeFormer: Transformer-based Shape Completion via Sparse Representation | OpenReview We present ShapeFormer, a transformer-based network that produces a distribution of object completions, conditioned on incomplete, and possibly noisy, point... sparse representation transformer based shape completion https://www.easychair.org/publications/preprint/VQ6g Remote Sensing Image Fusion Using Sparse Representation and Deep CNN remote sensing image sparse representation fusion using deep https://jmlr.org/papers/v22/19-944.html Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation laplacian matrix learning graph signals sparse https://www.aanda.org/articles/aa/abs/2009/35/aa11388-08/aa11388-08.html Source detection using a 3D sparse representation: application to the Fermi gamma-ray space... https://www.atlantis-press.com/proceedings/3ca-13/10139 Robust Visual Tracking via Parallel Kernel Sparse Representation and NormalHedge | Atlantis Press In this paper, a novel visual object tracking method based on NormalHedge (NH) and parallel kernel sparse representation (PKSR) is proposed to achieve robust... visual tracking https://deepai.org/publication/stable-and-compact-face-recognition-via-unlabeled-data-driven-sparse-representation-based-classification Stable and Compact Face Recognition via Unlabeled Data Driven Sparse Representation-Based... Nov 4, 2021 - 11/04/21 - Sparse representation-based classification (SRC) has attracted much attention by casting the recognition problem as simple linear ... face recognition https://openreview.net/forum?id=3AxESAk0Re&referrer=%5Bthe%20profile%20of%20Tom%20Gunter%5D(%2Fprofile%3Fid%3D~Tom_Gunter1) STAIR: Learning Sparse Text and Image Representation in Grounded Tokens | OpenReview Image and text retrieval is one of the foundational tasks in the vision and language domain with multiple real-world applications. State-of-the-art contrastive... stair learning sparse text https://openreview.net/forum?id=HJ-tMJfdWS&referrer=%5Bthe%20profile%20of%20Li%20Shen%5D(%2Fprofile%3Fid%3D~Li_Shen8) Intrinsic images decomposition using a local and global sparse representation of reflectance |... Intrinsic image decomposition is an important problem that targets the recovery of shading and reflectance components from a single image. While this is an... https://openreview.net/forum?id=8NMwh7TVhw Leveraging sparse and shared feature activations for disentangled representation learning |... Recovering the latent factors of variation of high dimensional data has so far focused on simple synthetic settings. Mostly building on unsupervised and... leveraging sparse shared feature activations https://www.cqvip.com/doc/journal/00854JP1MNC81J5W6LBO1JP1MPDO7?sign=045398d6ee404f3cae8b422a03d2e5f4e170a5d6e7dee2daad627ab2e8f5e9b1&expireTime=1792355788750&resourceId=00854JP1MNC81J5W6LBO1JP1MPDO7&type=1 GROUP SPARSE REPRESENTATION-BASED COLOR IMAGE RESTORATION UNDER MIXED RANDOM-VALUED IMPULSE AND... Restoring color images degraded by blurring and mixed noise-specifically randomvalued (RV) impulse and Gaussian noise-is a challenging task due to the distinct... https://openreview.net/forum?id=MgsSQPOYNx1 Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation |... In this paper, we provide theoretical results of estimation bounds and excess risk upper bounds for support vector machine (SVM) with sparse multi-kernel... https://www.tu-braunschweig.de/en/wire/teaching/previous-terms/summer-2011/seminar-scientific-computing/sparse-data-representation Sparse data representation sparse data representation https://openreview.net/forum?id=OIvg3MqWX2 A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules |... Graph neural networks (GNNs) -- learn graph representations by exploiting the graph's sparsity, connectivity, and symmetries -- have become indispensable for... rigid graph theoretically principled sparse connected https://www.aanda.org/articles/aa/ref/2009/35/aa11388-08/aa11388-08.html Source detection using a 3D sparse representation: application to the Fermi gamma-ray space...