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Methodology
← Core Methods
Machine Learning
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Clustering
3615 directly classified papers
Papers per year
2000: 1
2001: 3
2002: 4
2003: 7
2004: 2
2005: 4
2006: 34
2007: 19
2008: 22
2009: 23
2010: 38
2011: 51
2012: 74
2013: 125
2014: 111
2015: 107
2016: 158
2017: 203
2018: 219
2019: 319
2020: 310
2021: 336
2022: 293
2023: 394
2024: 345
2025: 287
2026: 126
Papers
A Video Representation Using Temporal Superpixels
CVPR 2013
Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion
ICML 2013
A Practical Algorithm for Topic Modeling with Provable Guarantees
ICML 2013
A Fast Semidefinite Approach to Solving Binary Quadratic Problems
CVPR 2013
Fast Rigid Motion Segmentation via Incrementally-Complex Local Models
CVPR 2013
Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically
ICML 2013
Discriminative Sub-categorization
CVPR 2013
A Variational Approximation for Topic Modeling of Hierarchical Corpora
ICML 2013
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation
NIPS 2013
Quantize and Conquer: A Dimensionality-Recursive Solution to Clustering, Vector Quantization, and Image Retrieval
ICCV 2013
Entropic Affinities: Properties and Efficient Numerical Computation
ICML 2013
Weakly-Supervised Dual Clustering for Image Semantic Segmentation
CVPR 2013
Hierarchical Video Representation with Trajectory Binary Partition Tree
CVPR 2013
Scalable Sparse Subspace Clustering
CVPR 2013
Modeling Musical Influence with Topic Models
ICML 2013
Correlation Adaptive Subspace Segmentation by Trace Lasso
ICCV 2013
A Framework for Shape Analysis via Hilbert Space Embedding
ICCV 2013
Online Motion Segmentation Using Dynamic Label Propagation
ICCV 2013
Minimal Basis Facility Location for Subspace Segmentation
ICCV 2013
Perspective Motion Segmentation via Collaborative Clustering
ICCV 2013
Rapid Distance-Based Outlier Detection via Sampling
NIPS 2013
Motion-Aware KNN Laplacian for Video Matting
ICCV 2013
Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty
JMLR 2013
Maximum Volume Clustering: A New Discriminative Clustering Approach
JMLR 2013
Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification
ACML 2013
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