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Adaptive Local Linear Discriminant Analysis

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Groupwise Registration of MR Brain Images Containing Tumors via Spatially Constrained Low-Rank Based Image Recovery
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Collaborative representation-based discriminant neighborhood projections for face recognition
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Discriminative locally linear mapping for medical diagnosis
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FClassNet: a fingerprint classification network integrated with the domain knowledge
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Introduction to statistical pattern recognition
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Principal component analysis
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Adaptive Neighborhood MinMax Projections
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Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis
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Robust dimensionality reduction via feature space to feature space distance metric learning
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Extracting the optimal dimensionality for local tensor discriminant analysis
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Sparsity preserving projections with applications to face recognition
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A multi-manifold discriminant analysis method for image feature extraction
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Phase congruency induced local features for finger-knuckle-print recognition
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Discriminative sparsity preserving projections for image recognition
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Local discriminative based sparse subspace learning for feature selection
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Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
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From few to many: illumination cone models for face recognition under variable lighting and pose
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2017 IEEE International Conference on Computer Vision (ICCV)
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Patch Distribution Compatible Semisupervised Dimension Reduction for Face and Human Gait Recognition
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Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis
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Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph
inferredcites →https://doi.org/10.1109/tifs.2018.2868162openalex-snapshot
Enabling Efficient and Geometric Range Query With Access Control Over Encrypted Spatial Data
inferredcites →https://doi.org/10.1109/tip.2017.2726188openalex-snapshot
Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction
inferredcites →https://doi.org/10.1109/tip.2018.2875312openalex-snapshot
Discrete Spectral Hashing for Efficient Similarity Retrieval
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Nonlinear Dimensionality Reduction with Local Spline Embedding
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A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction
inferredcites →https://doi.org/10.1109/tnn.2009.2015760openalex-snapshot
Trace Ratio Problem Revisited
inferredcites →https://doi.org/10.1109/tnn.2011.2152852openalex-snapshot
Local Linear Discriminant Analysis Framework Using Sample Neighbors
inferredcites →https://doi.org/10.1109/tnnls.2011.2178037openalex-snapshot
Semi-Supervised Dimension Reduction Using Trace Ratio Criterion
inferredcites →https://doi.org/10.1109/tnnls.2018.2890289openalex-snapshot
Person Reidentification by Joint Local Distance Metric and Feature Transformation
inferredcites →https://doi.org/10.1109/tpami.2005.58openalex-snapshot
Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image
inferredcites →https://doi.org/10.1109/tpami.2011.170openalex-snapshot
A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback
inferredcites →https://doi.org/10.1111/j.1469-1809.1936.tb02137.xopenalex-snapshot
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
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The Utilization of Multiple Measurements in Problems of Biological Classification
inferredcites →https://doi.org/10.1126/science.290.5500.2323openalex-snapshot
Nonlinear Dimensionality Reduction by Locally Linear Embedding
inferredcites →https://doi.org/10.1145/1143844.1143958openalex-snapshot
Local Fisher discriminant analysis for supervised dimensionality reduction
inferredcites →https://doi.org/10.1145/3219819.3220016openalex-snapshot
New Robust Metric Learning Model Using Maximum Correntropy Criterion
inferredcites →https://doi.org/10.24963/ijcai.2017/306openalex-snapshot
Locality Adaptive Discriminant Analysis
inferredcites →https://doi.org/10.24963/ijcai.2017/337openalex-snapshot
Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression
inferredcites →https://doi.org/10.3390/rs11020109openalex-snapshot
Locally Weighted Discriminant Analysis for Hyperspectral Image Classification
inferredcites →https://doi.org/10.3390/rs11050550openalex-snapshot
Hyperspectral and LiDAR Data Fusion Classification Using Superpixel Segmentation-Based Local Pixel Neighborhood Preserving Embedding
inferredcites →https://doi.org/10.5555/1248659.1248694openalex-snapshot
Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Requests classification in the customer service area for software companies using machine learning and natural language processing
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