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Computer Graphics Forum, ISSN 0167-7055, 08/2012, Volume 31, Issue 5, pp. 1703 - 1713
We present a novel algorithm for automatically co‐segmenting a set of shapes from a common family into consistent parts. Starting from over‐segmentations of... 
I.4.6 [Computer Graphics]: Segmentation | COMPUTER SCIENCE, SOFTWARE ENGINEERING | Graphics software | Algorithms | Studies | Computer graphics | Similarity | Mathematical analysis | Affinity | Clustering | Subspaces | Optimization | Three dimensional
Journal Article
by Wang, H and Qi, H and Zhang, G
IEEE Signal Processing Letters, ISSN 1070-9908, 3/2013, pp. 1 - 1
This work studies the subspace segmentation problem. Given a set of data points which are drawn from a union of multiple subspaces. The goal of subspace... 
Image segmentation | Computer vision | Accuracy | Databases | Motion segmentation | Subspace Segmentation | Spectral Clustering | Face | Mutual information | Grouping Effect
Journal Article
2013 IEEE International Conference on Computer Vision, ISSN 1550-5499, 12/2013, pp. 3543 - 3550
Vision problems ranging from image clustering to motion segmentation to semi-supervised learning can naturally be framed as subspace segmentation problems, in... 
Algorithm design and analysis | Image segmentation | Accuracy | Subspace Segmentation | Scalable | Distributed | Semisupervised learning | Timing | Divide-and-conquer | Face | Matrix decomposition | Low-rank methods | Learning | Computer vision | Algorithms | Computer simulation | Segmentation | Vision | Scaling up | Subspaces | Image detection
Conference Proceeding
IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 05/2014, Volume 26, Issue 5, pp. 1293 - 1297
Journal Article
2013 IEEE International Conference on Computer Vision, ISSN 1550-5499, 12/2013, pp. 1345 - 1352
This paper studies the subspace segmentation problem. Given a set of data points drawn from a union of subspaces, the goal is to partition them into their... 
Image segmentation | Correlation | Least squares approximations | Noise | Vectors | Silicon | Sparse matrices | Computer vision | Data points | Automation | Segmentation | Blocking | Affinity | Subspaces | Clustering
Conference Proceeding
IEEE Transactions on Image Processing, ISSN 1057-7149, 02/2019, Volume 28, Issue 2, pp. 1023 - 1034
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 07/2018, Volume 28, Issue 7, pp. 1526 - 1539
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 10/2018, Volume 28, Issue 10, pp. 2612 - 2621
Journal Article
Information Fusion, ISSN 1566-2535, 01/2020, Volume 53, pp. 145 - 154
Multiple kernel clustering (MKC) is an important research topic during the last few decades. It optimally combines a group of pre-specified base kernels to... 
Noisy data | Subspace segmentation | Multiple kernel clustering | Military electronics industry | Algorithms
Journal Article
IEEE Transactions on Cybernetics, ISSN 2168-2267, 08/2014, Volume 44, Issue 8, pp. 1432 - 1445
Journal Article
Neurocomputing, ISSN 0925-2312, 11/2018, Volume 319, pp. 66 - 73
Subspace segmentation is to group a given set of n data points into multiple clusters, with each cluster corresponding to a subspace. Prevalent methods such as... 
Subspace segmentation | Clustering | Large-scale | Random Sample Probing | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Information science | Machine vision | Investigations
Journal Article
by Rao, S and Tron, R and Vidal, R and Yi Ma
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 10/2010, Volume 32, Issue 10, pp. 1832 - 1845
Journal Article
Neurocomputing, ISSN 0925-2312, 12/2017, Volume 267, pp. 426 - 435
Image segmentation aims to partition an image into several disjoint regions with each region corresponding to a visual meaningful object. It is a fundamental... 
Subspace clustering | Image segmentation | Correlation adaptive regression | Data correlation | Subspace representation | SPARSE | VARIABLE SELECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Image processing | Analysis | Equipment and supplies | Machine vision
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 12/2019, Volume 136, pp. 316 - 326
Low-rank representation (LRR) related algorithms have achieved great successes in subspace segmentation tasks. Among them, matrix factorization based methods... 
K-means | Subspace segmentation | Matrix factorization | Low-rank representation | Computer science | Algorithms | Mathematical optimization | Analysis
Journal Article
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