Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings /
This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018. The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They wer...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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| Έκδοση: | 1st ed. 2018. |
| Σειρά: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
11004 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Classification and Clustering
- Image annotation using a semantic hierarchy
- Malignant Brain Tumor Classification using the Random Forest Method
- Rotationally Invariant Bark Recognition
- Dynamic voting in multi-view learning for radiomics applications
- Iterative Deep Subspace Clustering
- A scalable spectral clustering algorithm based on landmark-embedding and cosine similarity
- Deep Learning and Neural Networks
- On Fast Sample Preselection for Speeding up Convolutional Neural Network Training
- UAV First View Landmark Localization via Deep Reinforcement Learning
- Context Free Band Reduction Using a Convolutional Neural Network
- Local Patterns and Supergraph for Chemical Graph Classification with Convolutional Networks
- Learning Deep Embeddings via Margin-based Discriminate Loss
- Dissimilarity Representations and Gaussian Processes
- Protein Remote Homology Detection using Dissimilarity-based Multiple Instance Learning
- Local Binary Patterns based on Subspace Representation of Image Patch for Face Recognition
- An image-based representation for graph classification
- Visual Tracking via Patch-based Absorbing Markov Chain
- Gradient Descent for Gaussian Processes Variance Reduction
- Semi and Fully Supervised Learning Methods
- Sparsification of Indefinite Learning Models
- Semi-supervised Clustering Framework Based on Active Learning for Real Data
- Supervised Classification Using Feature Space Partitioning
- Deep Homography Estimation with Pairwise Invertibility Constraint
- Spatio-temporal Pattern Recognition and Shape Analysis
- Graph Time Series Analysis using Transfer Entropy
- Analyzing Time Series from Chinese Financial Market Using A Linear-Time Graph Kernel
- A Preliminary Survey of Analyzing Dynamic Time-varying Financial Networks Using Graph Kernels
- Few-Example Affine Invariant Ear Detection in the Wild
- Line Voronoi Diagram using Elliptical Distances
- Structural Matching
- Modelling the Generalised Median Correspondence through an Edit Distance
- Learning the Graph Edit Distance edit costs based on an embedded model
- Ring Based Approximation of Graph Edit Distance
- Graph Edit Distance in the exact context
- The VF3-Light Subgraph Isomorphism Algorithm: when doing less is more effective
- A Deep Neural Network Architecture to Estimate Node Assignment Costs for the Graph Edit Distance
- Error-Tolerant Geometric Graph Similarity
- Learning Cost Functions for Graph Matching
- Multimedia Analysis and Understanding
- Matrix Regression-based Classification for Face Recognition
- Plenoptic Imaging for Seeing Through Turbulence
- Weighted Local Mutual Information for 2D-3D Registration in Vascular Interventions
- Cross-model Retrieval with Reconstruct Hashing
- Deep Supervised Hashing with Information Loss
- Single Image Super Resolution via Neighbor Reconstruction
- An Efficient Method for Boundary Detection from Hyperspectral Imagery
- Graph-Theoretic Methods
- Bags of Graphs for Human Action Recognition
- Categorization of RNA Molecules using Graph Methods
- Quantum Edge Entropy for Alzheimer's Disease Analysis
- Approximating GED using a Stochastic Generator and Multistart IPFP
- Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks
- On Association Graph Techniques for Hypergraph Matching
- Directed Network Analysis using Transfer Entropy Component Analysis
- A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs
- Dirichlet Densifiers: Beyond Constraining the Spectral Gap.
