Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Geometric Data Analysis Based on Manifold Learning with Applications for Image Understanding
Riemannian Manifold Learning
The Sparse Manifold Transform
Locally Linear Hashing for Extracting Non-linear Manifolds
Manifold Based Low-rank Regularization for Image Restoration and Semi-supervised Learning
Manifold Learning by Curved Cosine Mapping
Discriminant analysis on Riemannian manifold of Gaussian distributions for face recognition with image sets
Parallel Transport Unfolding: A Connection-based Manifold Learning Approach
Online dictionary learning on symmetric positive definite manifolds with vision applications
Generative Visual Manipulation on the Natural Image Manifold
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
Applications of Average Geodesic Distance in Manifold learning
Distance Preserving Dimension Reduction for Manifold Learning
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification
Manifold Regularized Multitask Learning for Semi-Supervised Multilabel Image Classification
Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour
Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification
Sparse Manifold Clustering and Embedding
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds
A Global Geometric Framework for Nonlinear Dimensionality Reduction
Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment
Fractal geometry and architecture design: case study review
An Electronic Synapse Device Based on Metal Oxide Resistive Switching Memory for Neuromorphic Computation
MODIFIED BROADBAND SCHIFFMAN PHASE SHIFTER USING DENTATE MICROSTRIP AND PATTERNED GROUND PLANE
Fast Semantic Segmentation for Scene Perception
A Riemannian Framework for Tensor Computing