Progress in pattern recognition, image analysis, computer vision, and applications : 18th Iberoamerican Congress, CIARP 2013, Havana, Cuba, November 20-23, 2013, Proceedings. Part I /
Saved in:
| Meeting name: | Iberoamerican Congress on Pattern Recognition (18th : 2013 : Havana, Cuba) |
|---|---|
| Imprint: | Heidelberg : Springer, 2013. |
| Description: | 1 online resource (xxxii, 563 pages) : illustrations. |
| Language: | English |
| Series: | Lecture Notes in Computer Science, 0302-9743 ; 8258 LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics Lecture notes in computer science ; 8258. LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11082127 |
Table of Contents:
- Keynote
- Pattern Recognition Systems under Attack
- Mathematical Theory of PR
- Genetic Programming of Heterogeneous Ensembles for Classification
- Deletion Rules for Equivalent Sequential and Parallel Reductions
- Decomposing and Sketching 3D Objects by Curve Skeleton Processing
- Analysis of Dynamic Processes by Statistical Moments of High Orders
- Distance Transform Separable by Mathematical Morphology in GPU
- Estimation of Single-Gaussian and Gaussian Mixture Models for Pattern Recognition
- Set Distance Functions for 3D Object Recognition
- Single-Step-Ahead and Multi-Step-Ahead Prediction with Evolutionary Artificial Neural Networks
- Conformal Hough Transform for 2D and 3D Cloud Points
- Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes
- A Genetic Algorithm-Evolved 3D Point Cloud Descriptor
- Reconstruction and Enumeration of hv-Convex Polyominoes with Given Horizontal Projection.
- Supervised and Unsupervised Classification
- A Constraint Acquisition Method for Data Clustering
- Auto-encoder Based Data Clustering
- On the Generalization of the Mahalanobis Distance
- Encoding Classes of Unaligned Objects Using Structural Similarity Cross-Covariance Tensors
- Dynamic K: A Novel Satisfaction Mechanism for CAR-Based Classifiers
- Weighted Naïve Bayes Classifiers by Renyi Entropy
- CICE-BCubed: A New Evaluation Measure for Overlapping Clustering Algorithms
- Supervised Classification Using Homogeneous Logical Proportions for Binary and Nominal Features
- Multimodal Bone Cancer Detection Using Fuzzy Classification and Variational Model
- Extreme Learning Classifier with Deep Concepts
- Automatic Graph Building Approach for Spectral Clustering
- Qualitative Transfer for Reinforcement Learning with Continuous State and Action Spaces
- New Penalty Scheme for Optimal Subsequence Bijection.
- Missing Values in Dissimilarity-Based Classification of Multi-way Data
- A New Distance for Data Sets in a Reproducing Kernel Hilbert Space Context
- Bi-clustering via MDL-Based Matrix Factorization
- Kernel Spectral Clustering for Dynamic Data
- Feature or Instance Selection for Classification
- Feature Space Reduction for Graph-Based Image Classification
- Mixed Data Balancing through Compact Sets Based Instance Selection
- An Empirical Study of Oversampling and Undersampling for Instance Selection Methods on Imbalance Datasets
- Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach
- A Feature Set Decomposition Method for the Construction of Multi-classifier Systems Trained with High-Dimensional Data
- On Stopping Rules in Dependency-Aware Feature Ranking
- Towards Cluster-Based Prototype Sets for Classification in the Dissimilarity Space.
- Easy Categorization of Attributes in Decision Tables Based on Basic Binary Discernibility Matrix
- Comparing Quality Measures for Contrast Pattern Classifiers
- Selecting Features with SVM
- Benchmarking Datasets for Breast Cancer Computer-Aided Diagnosis (CADx)
- Managing Imbalanced Data Sets in Multi-label Problems: A Case Study with the SMOTE Algorithm
- Online Matrix Factorization for Space Embedding Multilabel Annotation
- A Theoretical and Practical Framework for Assessing the Computational Behavior of Typical Testor-Finding Algorithms
- Image Analysis and Retrieval
- A NSGA Based Approach for Content Based Image Retrieval
- Large Scale Image Indexing Using Online Non-negative Semantic Embedding
- Using Boundary Conditions for Combining Multiple Descriptors in Similarity Based Queries.
- Stopping Criterion for the Mean Shift Iterative Algorithm
- Evolutionary Optimisation of JPEG2000 Part 2 Wavelet Packet Structures for Polar Iris Image Compression
- Improving Image Segmentation for Boosting Image Annotation with Irregular Pyramids
- Implementation of Non Local Means Filter in GPUs
- Wide-Angle Lens Distortion Correction Using Division Models
- Current Trends in the Algebraic Image Analysis: A Survey
- Combining Texture and Shape Descriptors for Bioimages Classification: A Case of Study in ImageCLEF Dataset
- CWMA: Circular Window Matching Algorithm
- A Histogram-Based Approach to Mathematical Line Segmentation
- Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors
- A Differential Method for Representing Spinal MRI for Perceptual-CBIR
- Image Segmentation Using Active Contours and Evidential Distance.
- Signals Analysis and Processing
- Threshold Estimation in Energy-Based Methods for Segmenting Birdsong Recordings
- Detection of Periodic Signals in Noise Based on Higher-Order Statistics Joined to Convolution Process and Spectral Analysis
- Hierarchical Models for Rescoring Graphs vs. Full Integration
- A Phonetic-Based Approach to Query-by-Example Spoken Term Detection
- Method to Correct Artifacts in Multilead ECG Using Signal Entropy
- Improvements to the HNR Estimation Based-on Generalized Variogram
- Using Three Reassigned Spectrogram Patches and Log-Gabor Filter for Audio Surveillance Application
- Dominant Set Approach to ECG Biometrics
- Onset and Peak Pattern Recognition on Photoplethysmographic Signals Using Neural Networks
- Gaussian Segmentation and Tokenization for Low Cost Language Identification.
- Mathematical Theory of PR
- Supervised and Unsupervised Classification
- Feature or Instance Selection for Classification
- Image Analysis and Retrieval
- Signals Analysis and Processing.