close
1.

電子ブック

EB
edited by Elisa Fromont, Tijl De Bie, Matthijs van Leeuwen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 9385
オンライン: http://dx.doi.org/10.1007/978-3-319-24465-5
目次情報: 続きを見る
Data analytics and optimization for assessing a ride sharing system
Constraint-Based Querying for Bayesian Network Exploration
Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data
Segregation Discovery in a Social Network of Companies
A first+-order-logic based model for grounded language learning
A parallel distributed processing algorithm for image feature extraction
Modeling concept drift: A probabilistic graphical model based approach
Diversity-driven Widening of Hierarchical Agglomerative Clustering
Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering
Time Series Classification with Representation Ensembles
Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study
On Binary Reduction of Large-scale Multiclass Classification Problems
Probabilistic Active Learning in Data Streams
Implicitly Constrained Semi-Supervised Least Squares Classification
Diagonal Co-clustering Algorithm for Document-Word Partitioning
I-Louvain: an attributed graph clustering method
Class-based outlier detection: staying zombies or awaiting for resurrection?
Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels
Using entropy as a measure of acceptance for multi-label classification
Investigation of Node Deletion Techniques for Clustering Applications of Growing Self Organizing Maps
Exploratory topic modeling with distributional semantics
Assigning Geo-Relevance of Sentiments Mined from Location-Based Social Media Posts
Continuous and Discrete Deep Classifiers for Data Integration
A Bayesian Approach for Identifying Multivariate Differences Between Groups
Automatically Discovering Offensive Patterns in Soccer Match Data
Fast Algorithm Selection using Learning Curves
Optimally Weighted Cluster Kriging for Big Data Regression
Slower can be faster: The iRetis incremental model tree learner
VoQs: A Web Application for Visualization of Questionnaire Surveys
Data analytics and optimization for assessing a ride sharing system
Constraint-Based Querying for Bayesian Network Exploration
Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data
2.

電子ブック

EB
edited by Guorong Wu, Pierrick Coupe, Yiqiang Zhan, Brent Munsell, Daniel Rueckert
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 9467
オンライン: http://dx.doi.org/10.1007/978-3-319-28194-0
目次情報: 続きを見る
A Multi-level Canonical Correlation Analysis Scheme for Standard-dose PET Image Estimation
Image Super-Resolution by Supervised Adaption of Patchwise Self-Similarity from High-Resolution Image
Automatic Hippocampus Labeling Using the Hierarchy of Sub-Region Random Forests
Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis
Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-high Field MRI
Dual-Layer l1-Graph Embedding for Semi-Supervised Image Labeling
Automatic Liver Tumor Segmentation in Follow-up CT Studies Using Convolutional Neural Network
Block-based Statistics for Robust Non-Parametric Morphometry
Automatic Collimation Detection in Digital Radiographs with the Directed Hough Transform and Learning-based Edge Detection
Efficient Lung Cancer Cell Detection with Deep Convolutional Neural Network
An Effective Approach for Robust Lung Cancer Cell Detection
Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation
Hippocampus Segmentation through Distance Field Fusion
Learning a Spatiotemporal Dictionary for Magnetic Resonance Fingerprinting with Compress Sensing
Fast Regions-of-Interest Detection in Whole Slide Histopathology Images
Reliability Guided Forward and Backward Patch-based Method for Multi-atlas Segmentation
Correlating Tumour Histology and ex vivo MRI Using Dense Modality-Independent Patch-Based Descriptor
Multi-Atlas Segmentation using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression
A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images
3D MRI Denoising using Rough Set Theory and Kernel Embedding Method
A Novel Cell Orientation Congruence Descriptor for Superpixel based Epithelium Segmentation in Endometrial Histology Images
Patch-based Segmentation from MP2RAGE Images: Comparison to Conventional Techniques
Multi-Atlas and Multi-Modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph
Prediction of Infant MRI Appearance and Anatomical Structure Evolution using Sparse Patch-based Metamorphosis Learning Framework
Efficient Multi-Scale Patch-based Segmentation
A Multi-level Canonical Correlation Analysis Scheme for Standard-dose PET Image Estimation
Image Super-Resolution by Supervised Adaption of Patchwise Self-Similarity from High-Resolution Image
Automatic Hippocampus Labeling Using the Hierarchy of Sub-Region Random Forests
3.

電子ブック

EB
edited by Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 8932
オンライン: http://dx.doi.org/10.1007/978-3-319-14612-6
目次情報: 続きを見る
Discrete and continuous optimization
Image restoration and inpainting
Segmentation
PDE and variational methods
Motion, tracking and multiview reconstruction
Statistical methods and learning
Medical image analysis
Discrete and continuous optimization
Image restoration and inpainting
Segmentation
4.

電子ブック

EB
edited by Enrique Onieva, Igor Santos, Eneko Osaba, Hector Quintian, Emilio Corchado
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 9121
オンライン: http://dx.doi.org/10.1007/978-3-319-19644-2
目次情報: 続きを見る
Data mining and knowledge discovery
Video and image analysis
Bio-inspired models and evolutionary computation
Learning algorithms
Hybrid intelligent systems for data mining and applications
Classification and cluster analysis
HAIS applications
Data mining and knowledge discovery
Video and image analysis
Bio-inspired models and evolutionary computation
5.

電子ブック

EB
edited by Cheng-Lin Liu, Bin Luo, Walter G. Kropatsch, Jian Cheng
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 9069
オンライン: http://dx.doi.org/10.1007/978-3-319-18224-7
目次情報: 続きを見る
Graph-based Representation
Approximation of Graph Edit Distance in Quadratic Time
Data Graph Formulation as the Minimum-Weight Maximum-Entropy Problem
An Entropic Edge Assortativity Measure
A Subpath Kernel for Learning Hierarchical Image Representations
Coupled-Feature Hypergraph Representation for Feature Selection
Reeb Graphs Through Local Binary Patterns
Incremental embedding within a dissimilarity-based framework
Graph Matching
A First Step Towards Exact Graph Edit Distance Using Bipartite Graph Matching
Consensus of Two Graph Correspondences through a Generalisation of the Bipartite Graph Matching Algorithm
Revisiting Volegnant-Jonker for Approximating Graph Edit Distance
A Hypergraph Matching Framework for Refining Multi-source Feature Correspondences
Kite Recognition by means of Graph Matching
GEM++: a tool for solving substitution-tolerant subgraph isomorphism
A Graph Database Repository and Performance Evaluation Metrics for Graph Edit Distance
Improving Hausdorff Edit Distance Using Structural Node Context
Learning Graph Model for Different Dimensions Image Matching
VF2 Plus: An Improved Version of VF2 For Biological Graphs
Report on the First Contest on Graph Matching Algorithms for Pattern Search in Biological Databases
Approximate Graph Edit Distance Computation Combining Bipartite Matching and Exact Neighborhood Substructure Distance
Multi-layer Tree Matching Using HSTs
Large-scale Graph Indexing using Binary Embeddings of Node Contexts
Attributed Relational Graph Matching with Sparse Relaxation and Bistochastic Normalization
Graph Clustering and Classification.-On the Influence of Node Centralities on Graph Edit Distance for Graph Classification
A Mixed Weisfeiler-Lehman Graph Kernel
A Quantum Jensen-Shannon Graph Kernel using Discrete-time Quantum Walks
Density Based Cluster Extension and Dominant Sets Clustering
Salient Object Segmentation from Stereoscopic Images
Causal Video Segmentation using Superseeds and Graph Matching
Fast Minimum Spanning Tree based Clustering Algorithms on Local Neighborhood Graph
Graph-based Application
From bags to graphs of stereo subgraphs in order to predict molecule's properties
Thermodynamics of Time Evolving Networks
Isometric Mapping Hashing
Skeletal Graphs from Schrodinger Magnitude and Phase
Graph Based Lymphatic Vessel Wall Localisation and Tracking
A Comic Retrieval System Based on Multilayer Graph Representation and Graph Mining
Learning High-Order Structures for Texture Retrieval
Graph-based Representation
Approximation of Graph Edit Distance in Quadratic Time
Data Graph Formulation as the Minimum-Weight Maximum-Entropy Problem
6.

電子ブック

EB
edited by Emmanuel Vincent, Arie Yeredor, Zbyn?k Koldovsky, Petr Tichavsky
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 9237
オンライン: http://dx.doi.org/10.1007/978-3-319-22482-4
目次情報: 続きを見る
Tensor-based methods for blind signal separation
Deep neural networks for supervised speech separation/enhancment
Joined analysis of multiple datasets, data fusion, and related topics
Advances in nonlinear blind source separation
Sparse and low rank modeling for acoustic signal processing
Tensor-based methods for blind signal separation
Deep neural networks for supervised speech separation/enhancment
Joined analysis of multiple datasets, data fusion, and related topics
7.

電子ブック

EB
edited by Vittorio Murino, Enrico Puppo
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 9279
オンライン: http://dx.doi.org/10.1007/978-3-319-23231-7
8.

電子ブック

EB
edited by Aasa Feragen, Marcello Pelillo, Marco Loog
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 9370
オンライン: http://dx.doi.org/10.1007/978-3-319-24261-3
目次情報: 続きを見る
A Novel Data Representation based on a Second-Order Dissimilarity Measure
Characterizing Multiple Instance Datasets
Supervised learning of diffiusion distance to improve histogram matching
Similarity Analysis from Limiting Quantum Walks
Introducing Negative Evidence in Ensemble Clustering
Dissimilarity representations for low-resolution face recognition
Deep metric learning using Triplet network
Cluster Merging Based on Dominant Sets
An Adaptive Radial Basis Function Kernel for Support Vector Data Description
Robust initialization for learning Latent Dirichlet Allocation
Unsupervised Motion Segmentation Using Metric Embedding of Features
Transitive Assignment Kernels for Structural Classification
Large scale Indefinite Kernel Fisher Discriminant
Similarity-based User Identification across Social Networks
Dominant-Set Clustering Using Multiple Affinity Matrices
Distance-Based Network Recovery under Feature Correlation
Discovery of salient low-dimensional dynamical structure using Hopfield Networks
On Geodesic Exponential Kernels
A Matrix Factorization Approach to Graph Compression
A Geometrical Approach to Find Corresponding Patches in 3D Medical Surfaces
Similarities, SDEs, and Most Probable Paths
Can the optimum similarity matrix be selected before clustering for graph-based approaches?
Approximate spectral clustering with utilized similarity information fusing geodesic based hybrid distance measures
A Novel Data Representation based on a Second-Order Dissimilarity Measure
Characterizing Multiple Instance Datasets
Supervised learning of diffiusion distance to improve histogram matching
9.

電子ブック

EB
edited by Lourdes Agapito, Michael M. Bronstein, Carsten Rother
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 8926
オンライン: http://dx.doi.org/10.1007/978-3-319-16181-5
目次情報: 続きを見る
Computer vision with local binary pattern variants
Visual object tracking challenge
Computer vision + ontology applies cross-disciplinary technologies
Visual perception of affordance and functional visual primitives for scene analysis
Graphical models in computer vision
Light fields for computer vision
Computer vision for road scene understanding and autonomous driving
Soft biometrics
Computer vision with local binary pattern variants
Visual object tracking challenge
Computer vision + ontology applies cross-disciplinary technologies
10.

電子ブック

EB
edited by Lourdes Agapito, Michael M. Bronstein, Carsten Rother
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 8928
オンライン: http://dx.doi.org/10.1007/978-3-319-16220-1
目次情報: 続きを見る
Assistive computer vision and robotics
Computer vision problems in plant phenotyping
Non-rigid shape analysis and deformable image alignment
Video segmentation
Assistive computer vision and robotics
Computer vision problems in plant phenotyping
Non-rigid shape analysis and deformable image alignment