the proceedings contain 24 papers. the topics discussed include: pattern classification using a penalized likelihood method;evaluation of feature selection by multiclass kernel discriminant analysis;correlation-based ...
ISBN:
(纸本)3642121586
the proceedings contain 24 papers. the topics discussed include: pattern classification using a penalized likelihood method;evaluation of feature selection by multiclass kernel discriminant analysis;correlation-based and causal feature selection analysis for ensemble classifiers;a new Monte Carlo-based error rate estimator;recognition of sequences of graphical patterns;maximum echo-state-likelihood networks for emotion recognition;robustness analysis of eleven linear classifiers in extremely high-dimensional feature spaces;global coordination based on matrix neural gas for dynamic texture synthesis;sic-means: a semi-fuzzy approach for clustering data streams using C-means;the mathematics of divergence based online learning in vector quantization;cluster analysis of cortical pyramidal neurons using SOM;neural network cascade for facial feature localization;and a hidden Markov model based approach for facial expression recognition in image sequences.
this book constitutes the refereed proceedings of the 6th IAPR TC3 International workshop on artificialneuralnetworks in patternrecognition, ANNPR 2014, held in Montreal, QC, Canada, in October 2014. the 24 revised...
ISBN:
(数字)9783319116563
ISBN:
(纸本)9783319116556;9783319116563
this book constitutes the refereed proceedings of the 6th IAPR TC3 International workshop on artificialneuralnetworks in patternrecognition, ANNPR 2014, held in Montreal, QC, Canada, in October 2014. the 24 revised full papers presented were carefully reviewed and selected from 37 submissions for inclusion in this volume. they cover a large range of topics in the field of learning algorithms and architectures and discussing the latest research, results, and ideas in these areas.
the proceedings contain 16 papers. the special focus in this conference is on artificialneuralnetworks in patternrecognition. the topics include: Sequence-to-Sequence CNN-BiLSTM Based Glottal Closure Instant Detect...
ISBN:
(纸本)9783031206498
the proceedings contain 16 papers. the special focus in this conference is on artificialneuralnetworks in patternrecognition. the topics include: Sequence-to-Sequence CNN-BiLSTM Based Glottal Closure Instant Detection from Raw Speech;preface;graph Augmentation for neuralnetworks Using Matching-Graphs;Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi;transformer-Encoder Generated Context-Aware Embeddings for Spell Correction;assessment of Pharmaceutical Patent Novelty with Siamese neuralnetworks;white Blood Cell Classification of Porcine Blood Smear Images;medical Deepfake Detection using 3-Dimensional neural Learning;a Study on the Autonomous Detection of Impact Craters;utilization of Vision Transformer for Classification and Ranking of Video Distortions;a Novel Representation of Graphical patterns for Graph Convolution networks;minimizing Cross Intersections in Graph Drawing via Linear Splines;multi-stage Bias Mitigation for Individual Fairness in Algorithmic Decisions;do Minimal Complexity Least Squares Support Vector Machines Work?.
the proceedings contain 21 papers. the topics discussed include: how to quantitatively compare data dissimilarities for unsupervised machine learning?;kernel robust soft learning vector quantization;incremental learni...
ISBN:
(纸本)9783642332111
the proceedings contain 21 papers. the topics discussed include: how to quantitatively compare data dissimilarities for unsupervised machine learning?;kernel robust soft learning vector quantization;incremental learning by message passing in hierarchical temporal memory;representative prototype sets for data characterization and classification;feature selection by block addition and block deletion;feature selection by block addition and block deletion;towards a novel probabilistic graphical model of sequential data: fundamental notions and a solution to the problem of parameter learning;towards a novel probabilistic graphical model of sequential data: a solution to the problem of structure learning and an empirical evaluation;statistical recognition of a set of patterns using novel probability neural network;and on graph-associated matrices and their eigenvalues for optical character recognition.
the proceedings contain 31 papers. the special focus in this conference is on artificialneuralnetworks for patternrecognition. the topics include: A κ-nearest neighbor based algorithm for multi-instance multi-labe...
ISBN:
(纸本)9783319999777
the proceedings contain 31 papers. the special focus in this conference is on artificialneuralnetworks for patternrecognition. the topics include: A κ-nearest neighbor based algorithm for multi-instance multi-label active learning;manifold learning regression with non-stationary kernels;f-Measure Curves for Visualizing Classifier Performance with Imbalanced Data;maximum-likelihood estimation of neural mixture densities: model, algorithm, and preliminary experimental evaluation;generating Bounding Box Supervision for Semantic Segmentation with Deep Learning;inductive–transductive learning with graph neuralnetworks;bounded rational decision-making with adaptive neural network priors;feature selection with rényi min-entropy;extracting gamma-ray information from images with convolutional neural network methods on simulated cherenkov telescope array data;deep learning in the wild;automatic hand sign recognition: Identify unusuality through latent cognizance;cascade of ordinal classification and local regression for audio-based affect estimation;combining classical and deep learning methods for twitter sentiment analysis;PHoG features and kullback-leibler divergence based ranking method for handwriting recognition;patternrecognition pipeline for neuroimaging data;anomaly patternrecognition with privileged information for sensor fault detection;Capturing suprasegmental features of a voice with RNNs for improved speaker clustering;Trace and detect adversarial attacks on CNNs using feature response maps;Video and audio data extraction for retrieval, ranking and recapitulation (VADER3);ATM protection using embedded deep learning solutions;effect of equality constraints to unconstrained large margin distribution machines;object detection in floor plan images;historical handwritten document segmentation by using a weighted loss;DLL: A fast deep neural network library;selecting features from foreign classes.
the proceedings contain 27 papers. the special focus in this conference is on Learning Algorithms, Architectures and Applications. the topics include: A spiking neural network for personalised modelling of electrogast...
ISBN:
(纸本)9783319461816
the proceedings contain 27 papers. the special focus in this conference is on Learning Algorithms, Architectures and Applications. the topics include: A spiking neural network for personalised modelling of electrogastrography;improving generalization abilities of maximal average margin classifiers;finding small sets of random Fourier features for shift-invariant kernel approximation;incremental construction of low-dimensional data representations;soft-constrained nonparametric density estimation withartificialneuralnetworks;interpretable classifiers in precision medicine;on the evaluation of tensor-based representations for optimum-path forest classification;on the harmony search using quaternions;learning parameters in deep belief networksthrough firefly algorithm;towards effective classification of imbalanced data with convolutional neuralnetworks;on CPU performance optimization of restricted Boltzmann machine and convolutional RBM;comparing incremental learning strategies for convolutional neuralnetworks;approximation of graph edit distance by means of a utility matrix;time series classification in reservoir- and model-space;objectness scoring and detection proposals in forward-looking sonar images with convolutional neuralnetworks;background categorization for automatic animal detection in aerial videos using neuralnetworks;predictive segmentation using multichannel neuralnetworks in Arabic OCR system;quad-tree based image segmentation and feature extraction to recognize online handwritten bangla characters;using radial basis function neuralnetworks for continuous and discrete pain estimation from bio-physiological signals;emotion recognition in speech with deep learning architectures and on gestures and postural behavior as a modality in ensemble methods.
the proceedings contain 24 papers. the special focus in this conference is on artificialneuralnetworks in patternrecognition. the topics include: Named entity disambiguation at scale;geometric attention for predict...
ISBN:
(纸本)9783030583088
the proceedings contain 24 papers. the special focus in this conference is on artificialneuralnetworks in patternrecognition. the topics include: Named entity disambiguation at scale;geometric attention for prediction of differential properties in 3d point clouds;preface;deep learning methods for image guidance in radiation therapy;how (not) to measure bias in face recognitionnetworks;feature extraction: A time window analysis based on the x-ite pain database;pain intensity recognition - an analysis of short-time sequences in a real-world scenario;a deep learning approach for efficient registration of dual view mammography;deep transfer learning for texture classification in colorectal cancer histology;applications of generative adversarial networks to dermatologic imaging;typing plasmids with distributed sequence representation;kp-yolo: A modification of yolo algorithm for the keypoint-based detection of qr codes;using mask r-cnn for image-based wear classification of solid carbide milling and drilling tools;a hybrid deep learning approach for forecasting air temperature;intentional image similarity search;using cnns to optimize numerical simulations in geotechnical engineering;going for 2d or 3d? investigating various machine learning approaches for peach variety identification;a transfer learning end-to-end arabic text-to-speech (tts) deep architecture;ml-based trading models: An investigation during covid-19 pandemic crisis;innvestigate-gui - explaining neuralnetworksthrough an interactive visualization tool;structured (de)composable representations trained withneuralnetworks;long distance relationships without time travel: Boosting the performance of a sparse predictive autoencoder in sequence modeling.
the proceedings contain 27 papers. the special focus in this conference is on artificialneuralnetworks in patternrecognition. the topics include: neural Decompiling of Tracr Transformers;pitfalls in Proce...
ISBN:
(纸本)9783031716010
the proceedings contain 27 papers. the special focus in this conference is on artificialneuralnetworks in patternrecognition. the topics include: neural Decompiling of Tracr Transformers;pitfalls in Processing Infinite-Length Sequences with Popular Approaches for Sequential Data;robust Clustering with McDonald’s Beta-Liouville Mixture Models for Proportional Data;evaluating Support Vector Machines with Multiple Kernels by Random Search;Automatic Interpretation of 18F-Fluorocholine PET/CT Findings in Patients with Primary Hyperparathyroidism: A Novel Dataset with Benchmarks;a Hybrid Neuroevolutionary Approach to the Design of Convolutional neuralnetworks for 2D and 3D Medical Image Segmentation;An Improved Pix2Pix GAN for Medical Image Generation;vision Transformer Features-Based Leukemia Classification;comparative Study of Deep Learning Models in Melanoma Detection;a Metaheuristic Optimization Based Deep Feature Selection for Oral Cancer Classification;machine Learning for Clinical Score Prediction from Longitudinal Dataset: A Case Study on Parkinson’s Disease;explaining Network Decision Provides Insights on the Causal Interaction Between Brain Regions in a Motor Imagery Task;Multi-modal Decoding of Reach-to-Grasping from EEG and EMG via neuralnetworks;VAeViT: Fusing Multi-views for Complete 3D Object recognition;leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos;palmprint Classification via Filter Faces and Feature Extraction;deep Multi-label Classification of Personality with Handwriting Analysis;license Plate Detection and Character recognition Using Deep Learning and Font Evaluation;experiments in Modeling Disagreement;deep Multiresolution Wavelet Transform for Speech Emotion Assessment of High-Risk Suicide Callers;Dynamic HumTrans: Humming Transcription Using CNNs and Dynamic Programming;Leveraging LSTM Embeddings for River Water Temperature Modeling;research on the Identification of Common Economic Shellfish in Jiang
the proceedings contain 27 papers. the special focus in this conference is on artificialneuralnetworks for patternrecognition. the topics include: Large margin distribution learning;a decorrelation approach for pru...
ISBN:
(纸本)9783319116556
the proceedings contain 27 papers. the special focus in this conference is on artificialneuralnetworks for patternrecognition. the topics include: Large margin distribution learning;a decorrelation approach for pruning of multilayer perceptron networks;unsupervised active learning of CRF model for cross-lingual named entity recognition;incremental feature selection by block addition and block deletion using least squares SVRs;low-dimensional data representation in data analysis;analyzing dynamic ensemble selection techniques using dissimilarity analysis;hidden Markov models based on generalized Dirichlet mixtures for proportional data modeling;majority-class aware support vector domain oversampling for imbalanced classification problems;forward and backward forecasting ensembles for the estimation of time series missing data;dynamic weighted fusion of adaptive classifier ensembles based on changing data streams;combining bipartite graph matching and beam search for graph edit distance approximation;computing upper and lower bounds of graph edit distance in cubic time;a new multi-class fuzzy support vector machine algorithm;a reinforcement learning algorithm to train a Tetris playing agent;automatic bridge crack detection - a texture analysis-based approach;part-based high accuracy recognition of serial numbers in bank notes;comparative study of feature selection for white blood cell differential counts in low resolution images;end-shape recognition for Arabic handwritten text segmentation;intelligent ensemble systems for modeling NASDAQ microstructure;face recognition based on discriminative dictionary with multilevel feature fusion;investigating of preprocessing techniques and novel features in recognition of handwritten Arabic characters and a time series classification approach for motion analysis using ensembles in ubiquitous healthcare systems.
Deep neuralnetworks (DNNs), while increasingly deployed in many applications, struggle with robustness against anomalous and out-of-distribution (OOD) data. Current OOD benchmarks often oversimplify, focusing on sing...
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