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← Core Methods
Machine Learning
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Core Methods
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Feature Learning
817 directly classified papers
Papers per year
2001: 1
2003: 3
2005: 2
2006: 15
2007: 12
2008: 18
2009: 6
2010: 16
2011: 20
2012: 32
2013: 76
2014: 34
2015: 23
2016: 34
2017: 47
2018: 31
2019: 46
2020: 57
2021: 43
2022: 58
2023: 70
2024: 93
2025: 79
2026: 1
Papers
Initialization-Insensitive Visual Tracking through Voting with Salient Local Features
ICCV 2013
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution
ICCV 2013
Codemaps - Segment, Classify and Search Objects Locally
ICCV 2013
Curvature-Aware Regularization on Riemannian Submanifolds
ICCV 2013
Parallel Transport of Deformations in Shape Space of Elastic Surfaces
ICCV 2013
Action and Event Recognition with Fisher Vectors on a Compact Feature Set
ICCV 2013
Learning Discriminative Part Detectors for Image Classification and Cosegmentation
ICCV 2013
Learning View-Invariant Sparse Representations for Cross-View Action Recognition
ICCV 2013
Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition
ICCV 2013
Learning Adaptive Value of Information for Structured Prediction
NIPS 2013
Multiscale Dictionary Learning for Estimating Conditional Distributions
NIPS 2013
Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs
NIPS 2013
Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis
NIPS 2013
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching
NIPS 2013
HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences
CVPR 2013
Graph-Based Discriminative Learning for Location Recognition
CVPR 2013
Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions
CVPR 2013
Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization
CVPR 2013
Discriminative Color Descriptors
CVPR 2013
Extracting regions of interest from biological images with convolutional sparse block coding
NIPS 2013
Sign Cauchy Projections and Chi-Square Kernel
NIPS 2013
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces
NIPS 2013
Dirty Statistical Models
NIPS 2013
Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space
NIPS 2013
Spectral methods for neural characterization using generalized quadratic models
NIPS 2013
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