Learning Transformations for Clustering and Classification

9 September 2013

Papers citing "Learning Transformations for Clustering and Classification"

10 / 10 papers shown

Title
Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation Bo Han Yuheng Jia Hui Liu Junhui Hou 33 0 0 24 Oct 2024
Geometry-Aware Unsupervised Domain Adaptation You-Wei Luo Chuan-Xian Ren Ziliang Chen 21 0 0 21 Dec 2021
Expand Globally, Shrink Locally: Discriminant Multi-label Learning with Missing Labels Zhongchen Ma Songcan Chen 16 57 0 08 Apr 2020
Neither Global Nor Local: A Hierarchical Robust Subspace Clustering For Image Data Maryam Abdolali Mohammad Rahmati 14 13 0 17 May 2019
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning José Lezama Qiang Qiu Pablo Musé Guillermo Sapiro 35 78 0 05 Dec 2017
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks Qiang Qiu José Lezama A. Bronstein Guillermo Sapiro 23 8 0 22 Nov 2017
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral Hallucination and Low-rank Embedding José Lezama Qiang Qiu Guillermo Sapiro CVBM 34 138 0 21 Nov 2016
Bounds on the Number of Measurements for Reliable Compressive Classification H. Reboredo F. Renna Robert Calderbank M. Rodrigues 25 28 0 11 Jul 2016
Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification Jure Sokolić F. Renna Robert Calderbank M. Rodrigues 19 4 0 07 Aug 2015
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? Raja Giryes Guillermo Sapiro A. Bronstein 43 187 0 30 Apr 2015