Mining Intelligence and Knowledge Exploration [[electronic resource] ] : 5th International Conference, MIKE 2017, Hyderabad, India, December 13–15, 2017, Proceedings / / edited by Ashish Ghosh, Rajarshi Pal, Rajendra Prasath |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XX, 438 p. 125 illus.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Application software Data mining Computer vision Biometric identification Algorithms Artificial Intelligence Computer and Information Systems Applications Data Mining and Knowledge Discovery Computer Vision Biometrics |
ISBN | 3-319-71928-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Functional Link Artificial Neural Network for Multi-label Classification -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 Functional Link Artificial Neural Network (FLANN) -- 3.2 Representation of Multi-label Data -- 4 The Proposed Multi-label FLANN (MLFLANN) -- 4.1 Architecture of the Network -- 4.2 Training Phase -- 4.3 Testing Phase -- 5 Experimental Details and Analysis of Results -- 5.1 Datasets Used -- 5.2 Results and Analysis -- 6 Conclusion -- References -- Emotion Recognition Through Facial Gestures - A Deep Learning Approach -- Abstract -- 1 Introduction -- 2 Dataset -- 3 Preprocessing -- 4 Emotion Prediction Using SVM -- 5 System Architecture -- 5.1 Training Phase -- 5.2 Testing Phase -- 6 Convolutional Neural Network -- 7 Various Attempted Networks, Their Comparisons and the Selection of Proposed Network -- 8 Proposed Network Architecture -- 9 Results -- 10 Conclusion -- References -- Supervised Approaches to Assign Cooperative Patent Classification (CPC) Codes to Patents -- 1 Introduction -- 2 Related Work and Background -- 3 Datasets -- 4 Methods: Label Scoring, Reranking, and Thresholding -- 4.1 Label Scoring -- 4.2 Label (re)ranking -- 4.3 Label Cut-Off/Thresholding -- 5 Experiment and Results -- 6 Conclusion -- References -- A Betweenness Centrality Guided Clustering Algorithm and Its Applications to Cancer Diagnosis -- 1 Introduction -- 2 Clustering Using Betweenness Centrality on Spanning Subgraph -- 3 Experimental Analysis -- 4 Conclusion and Future Scope -- References -- MahalCUSFilter: A Hybrid Undersampling Method to Improve the Minority Classification Rate of Imbalanced Datasets -- 1 Introduction -- 2 Related Work -- 2.1 Undersampling -- 3 Proposed Method -- 3.1 Motivation for the Proposed Method -- 3.2 Theoritical Background of Proposed Method.
3.3 Framework for the Proposed Method -- 3.4 Results -- 4 Conclusions -- References -- Bezier Curve Based Continuous Medial Representation for Shape Analysis: A Theoretical Framework -- Abstract -- 1 Introduction -- 2 Proposed Methodology -- 3 Polygonal Approximation -- 4 Construction and Regularization of the Skeleton -- 5 Bezier Curve Description -- 6 Data Structure -- 7 Experimental Results -- 8 Conclusion -- Acknowledgements -- References -- Trust Distrust Enhanced Recommendations Using an Effective Similarity Measure -- 1 Introduction -- 2 Related Work -- 2.1 Collaborative Filtering -- 2.2 Trust Model -- 3 Trust Distrust Enhanced Recommendation Framework -- 4 Experiment Setup -- 4.1 Design of Experiments -- 4.2 Performance Evaluation -- 4.3 Experiments -- 4.4 Result -- 5 Conclusion -- References -- Language Identification Based on the Variations in Intonation Using Multi-classifier Systems -- Abstract -- 1 Introduction -- 2 Proposed Work -- 3 Implementation -- 4 Results and Discussion -- 5 Conclusion -- Acknowledgment -- References -- Cognitive Decision Making for Navigation Assistance Based on Intent Recognition -- 1 Introduction -- 2 Model of Intention Prediction -- 2.1 Features -- 2.2 Intention Recognition -- 2.3 Orientation and Distance -- 3 Implementation and Results -- 3.1 Navigation Path -- 3.2 Avoiding Obstacle -- 4 Analysis -- 5 Conclusion -- References -- Clinical Intelligence: A Data Mining Study on Corneal Transplantation -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Cornea -- 2.2 Clinical Intelligence System -- 2.3 Related Work -- 3 Methods and Tools -- 4 Case Study -- 4.1 Business Understanding -- 4.2 Data Understanding -- 4.3 Data Preparation -- 4.4 Modeling -- 4.5 Evaluation -- 5 Discussion -- 6 Conclusions and Future Work -- Acknowledgement -- References. High-Quality Medical Image Compression Using Discrete Orthogonal Cosine Stockwell Transform and Optimal Integer Bit Allocated Quantization -- Abstract -- 1 Introduction -- 2 Proposed Medical Image Codec -- 2.1 Designing of the Image Transformation Block for the Proposed Codec -- 2.2 Optimal Bit Allocated Quantization Block for the Proposed Codec -- 3 Results and Discussions -- 3.1 Time Complexity Analysis of the Proposed Medical Image Codec -- 4 Conclusions -- References -- Coprime Mapping Transformation for Protected and Revocable Fingerprint Template Generation -- 1 Introduction -- 1.1 Background -- 1.2 Existing Approaches -- 1.3 Contributions -- 2 Proposed Scheme -- 2.1 Pre-processing and Minutiae Extraction -- 2.2 Feature Extraction -- 2.3 Cancelable Template Generation -- 2.4 Matching -- 3 Experimental Results and Analysis -- 3.1 Validation of Parameter: Number of Sectors (s) -- 3.2 Performance -- 3.3 Baseline Comparison -- 3.4 Comparison with Existing Approaches -- 4 Security Analysis -- 4.1 Irreversibility Analysis -- 4.2 Revocability Analysis -- 4.3 Diversity Analysis -- 5 Conclusion -- References -- Supervised Asymmetric Metric Extraction: An Approach to Combine Distances -- 1 Introduction -- 2 Metric Approaches in Machine Learning -- 3 Supervised Asymmetric Metric Extraction -- 4 Biometric Applications -- 4.1 Datasets and Original Metrics -- 4.2 Learned Metrics -- 4.3 Performance Test -- 5 Conclusion -- References -- Interval-Valued Writer-Dependent Global Features for Off-line Signature Verification -- Abstract -- 1 Introduction -- 2 Proposed Method -- 2.1 Feature Computation -- 2.2 Selection of Writer-Dependent Features -- 2.3 Fixation of Feature Dimension and Threshold for Individual Writer -- 2.4 Clustering and Creation of Interval-Valued Feature Vector -- 2.5 Verification -- 3 Experimentation and Results -- 4 Comparative Analysis. 5 Conclusion -- References -- Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer -- 1 Introduction -- 2 Proposed Approach -- 3 Experimental Analysis -- 3.1 Dataset -- 3.2 Result and Analysis -- 4 Conclusion -- References -- Fingerprint Image Quality Assessment and Scoring -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Block Quality Labeling -- 3.2 Fingerprint Quality Score Computation -- 4 Experimental Results -- 5 Conclusions -- References -- A Multi-objective Evolutionary Algorithm for Color Image Segmentation -- 1 Introduction -- 2 Proposed Approach -- 2.1 Representation of Individuals -- 2.2 Generation of Initial Segments -- 2.3 Objective Functions -- 2.4 Evolutionary Operators -- 3 Evaluation Criterion: Modified PRI -- 4 Experiments and Results -- 4.1 Experimental Setup -- 4.2 Results and Discussion -- 5 Conclusion -- References -- Face Recognition by RBF with Wavelet, DCV and Modified LBP Operator Face Representation Methods -- Abstract -- 1 Introduction -- 2 Face Representation -- 2.1 Wavelet Transformation -- 2.2 Wavelet Packet Transformation -- 2.3 Discriminative Common Vector -- 2.4 Proposed Local Binary Pattern -- 3 Recognition by Radial Basis Function Neural Network -- 3.1 Algorithm -- 4 Results and Discussions -- 5 Conclusion -- References -- DNN-HMM Acoustic Modeling for Large Vocabulary Telugu Speech Recognition -- 1 Introduction -- 2 IIIT-H Telugu Speech Corpus -- 3 System Overview -- 4 DNN-HMM Modeling -- 4.1 Deep Neural Networks -- 4.2 Ergodic HMMs -- 4.3 Training for DNN-HMM -- 4.4 Testing for DNN-HMM -- 5 Results and Discussion -- 6 Conclusion and Future Scope -- References -- Memetic Algorithm Based on Global-Best Harmony Search and Hill Climbing for Part of Speech Tagging -- Abstract -- 1 Introduction -- 2 Related Works. 2.1 Traditional Approaches to Build POS Taggers -- 2.2 Metaheuristic Algorithms as an Approach to Build POS Taggers -- 2.3 Tagsets for Tagging Corpus and Tagged Corpus -- 3 Harmony Search Algorithm -- 4 Algorithm Proposed for the Tagging Problem -- 4.1 Part-of-Speech Tagging (POST) Problem -- 4.2 Part-of-Speech Tagging as an Optimization Problem -- 4.3 Global-Best Harmony Search Tagger -- 5 Experiments, Analyses, and Comparisons -- 5.1 Configuration -- 5.2 Results -- 6 Conclusions and Future Work -- Acknowledgements -- References -- A Study on Crossmodal Correspondence in Sensory Pathways Through Forced Choice Task and Frequency Ba ... -- Abstract -- 1 Introduction -- 2 Theory -- 3 Materials and Methods -- 3.1 Participants -- 3.2 Stimuli -- 3.3 Procedure -- 3.4 Analysis of Words -- 4 Results and Discussion -- 5 Conclusions -- References -- Point Process Modeling of Spectral Peaks for Low Resource Robust Speech Recognition -- 1 Introduction -- 2 Baseline HMM Recognizer -- 3 Spectral Peak Based Point Process Representation of Speech -- 3.1 Identification of Spectral Peaks -- 3.2 Removal of Spurious Spectral Peaks -- 4 Bankwise Segmentation of Spectral Peaks -- 5 Point Process Model Based Isolated Word Recognizer -- 6 Experimentation and Results -- 7 Conclusion -- References -- Significance of DNN-AM for Multimodal Sentiment Analysis -- 1 Introduction -- 2 Databases -- 2.1 Spanish Database -- 2.2 Hindi Database -- 3 Audio Sentiment Classification -- 3.1 DNNAM -- 4 Sentiment Analysis Using Text Features -- 5 Multimodal Sentiment Analysis -- 6 Summary and Conclusions -- References -- Pattern Based Information Retrieval Approach to Discover Extremist Information on the Internet -- Abstract -- 1 Introduction -- 2 Proposed Approach -- 2.1 General Scheme -- 2.2 "N-Gram Vs Sentence" Matrix Text Representation Model -- 2.3 Extracting Hidden Topics Using ONMF. 2.4 Using N-Gram Based Topics for Keywords Extraction and Document's Relevance Estimation. |
Record Nr. | UNISA-996466430403316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Mining Intelligence and Knowledge Exploration : 5th International Conference, MIKE 2017, Hyderabad, India, December 13–15, 2017, Proceedings / / edited by Ashish Ghosh, Rajarshi Pal, Rajendra Prasath |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XX, 438 p. 125 illus.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Application software Data mining Computer vision Biometric identification Algorithms Artificial Intelligence Computer and Information Systems Applications Data Mining and Knowledge Discovery Computer Vision Biometrics |
ISBN | 3-319-71928-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Functional Link Artificial Neural Network for Multi-label Classification -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 Functional Link Artificial Neural Network (FLANN) -- 3.2 Representation of Multi-label Data -- 4 The Proposed Multi-label FLANN (MLFLANN) -- 4.1 Architecture of the Network -- 4.2 Training Phase -- 4.3 Testing Phase -- 5 Experimental Details and Analysis of Results -- 5.1 Datasets Used -- 5.2 Results and Analysis -- 6 Conclusion -- References -- Emotion Recognition Through Facial Gestures - A Deep Learning Approach -- Abstract -- 1 Introduction -- 2 Dataset -- 3 Preprocessing -- 4 Emotion Prediction Using SVM -- 5 System Architecture -- 5.1 Training Phase -- 5.2 Testing Phase -- 6 Convolutional Neural Network -- 7 Various Attempted Networks, Their Comparisons and the Selection of Proposed Network -- 8 Proposed Network Architecture -- 9 Results -- 10 Conclusion -- References -- Supervised Approaches to Assign Cooperative Patent Classification (CPC) Codes to Patents -- 1 Introduction -- 2 Related Work and Background -- 3 Datasets -- 4 Methods: Label Scoring, Reranking, and Thresholding -- 4.1 Label Scoring -- 4.2 Label (re)ranking -- 4.3 Label Cut-Off/Thresholding -- 5 Experiment and Results -- 6 Conclusion -- References -- A Betweenness Centrality Guided Clustering Algorithm and Its Applications to Cancer Diagnosis -- 1 Introduction -- 2 Clustering Using Betweenness Centrality on Spanning Subgraph -- 3 Experimental Analysis -- 4 Conclusion and Future Scope -- References -- MahalCUSFilter: A Hybrid Undersampling Method to Improve the Minority Classification Rate of Imbalanced Datasets -- 1 Introduction -- 2 Related Work -- 2.1 Undersampling -- 3 Proposed Method -- 3.1 Motivation for the Proposed Method -- 3.2 Theoritical Background of Proposed Method.
3.3 Framework for the Proposed Method -- 3.4 Results -- 4 Conclusions -- References -- Bezier Curve Based Continuous Medial Representation for Shape Analysis: A Theoretical Framework -- Abstract -- 1 Introduction -- 2 Proposed Methodology -- 3 Polygonal Approximation -- 4 Construction and Regularization of the Skeleton -- 5 Bezier Curve Description -- 6 Data Structure -- 7 Experimental Results -- 8 Conclusion -- Acknowledgements -- References -- Trust Distrust Enhanced Recommendations Using an Effective Similarity Measure -- 1 Introduction -- 2 Related Work -- 2.1 Collaborative Filtering -- 2.2 Trust Model -- 3 Trust Distrust Enhanced Recommendation Framework -- 4 Experiment Setup -- 4.1 Design of Experiments -- 4.2 Performance Evaluation -- 4.3 Experiments -- 4.4 Result -- 5 Conclusion -- References -- Language Identification Based on the Variations in Intonation Using Multi-classifier Systems -- Abstract -- 1 Introduction -- 2 Proposed Work -- 3 Implementation -- 4 Results and Discussion -- 5 Conclusion -- Acknowledgment -- References -- Cognitive Decision Making for Navigation Assistance Based on Intent Recognition -- 1 Introduction -- 2 Model of Intention Prediction -- 2.1 Features -- 2.2 Intention Recognition -- 2.3 Orientation and Distance -- 3 Implementation and Results -- 3.1 Navigation Path -- 3.2 Avoiding Obstacle -- 4 Analysis -- 5 Conclusion -- References -- Clinical Intelligence: A Data Mining Study on Corneal Transplantation -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Cornea -- 2.2 Clinical Intelligence System -- 2.3 Related Work -- 3 Methods and Tools -- 4 Case Study -- 4.1 Business Understanding -- 4.2 Data Understanding -- 4.3 Data Preparation -- 4.4 Modeling -- 4.5 Evaluation -- 5 Discussion -- 6 Conclusions and Future Work -- Acknowledgement -- References. High-Quality Medical Image Compression Using Discrete Orthogonal Cosine Stockwell Transform and Optimal Integer Bit Allocated Quantization -- Abstract -- 1 Introduction -- 2 Proposed Medical Image Codec -- 2.1 Designing of the Image Transformation Block for the Proposed Codec -- 2.2 Optimal Bit Allocated Quantization Block for the Proposed Codec -- 3 Results and Discussions -- 3.1 Time Complexity Analysis of the Proposed Medical Image Codec -- 4 Conclusions -- References -- Coprime Mapping Transformation for Protected and Revocable Fingerprint Template Generation -- 1 Introduction -- 1.1 Background -- 1.2 Existing Approaches -- 1.3 Contributions -- 2 Proposed Scheme -- 2.1 Pre-processing and Minutiae Extraction -- 2.2 Feature Extraction -- 2.3 Cancelable Template Generation -- 2.4 Matching -- 3 Experimental Results and Analysis -- 3.1 Validation of Parameter: Number of Sectors (s) -- 3.2 Performance -- 3.3 Baseline Comparison -- 3.4 Comparison with Existing Approaches -- 4 Security Analysis -- 4.1 Irreversibility Analysis -- 4.2 Revocability Analysis -- 4.3 Diversity Analysis -- 5 Conclusion -- References -- Supervised Asymmetric Metric Extraction: An Approach to Combine Distances -- 1 Introduction -- 2 Metric Approaches in Machine Learning -- 3 Supervised Asymmetric Metric Extraction -- 4 Biometric Applications -- 4.1 Datasets and Original Metrics -- 4.2 Learned Metrics -- 4.3 Performance Test -- 5 Conclusion -- References -- Interval-Valued Writer-Dependent Global Features for Off-line Signature Verification -- Abstract -- 1 Introduction -- 2 Proposed Method -- 2.1 Feature Computation -- 2.2 Selection of Writer-Dependent Features -- 2.3 Fixation of Feature Dimension and Threshold for Individual Writer -- 2.4 Clustering and Creation of Interval-Valued Feature Vector -- 2.5 Verification -- 3 Experimentation and Results -- 4 Comparative Analysis. 5 Conclusion -- References -- Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer -- 1 Introduction -- 2 Proposed Approach -- 3 Experimental Analysis -- 3.1 Dataset -- 3.2 Result and Analysis -- 4 Conclusion -- References -- Fingerprint Image Quality Assessment and Scoring -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Block Quality Labeling -- 3.2 Fingerprint Quality Score Computation -- 4 Experimental Results -- 5 Conclusions -- References -- A Multi-objective Evolutionary Algorithm for Color Image Segmentation -- 1 Introduction -- 2 Proposed Approach -- 2.1 Representation of Individuals -- 2.2 Generation of Initial Segments -- 2.3 Objective Functions -- 2.4 Evolutionary Operators -- 3 Evaluation Criterion: Modified PRI -- 4 Experiments and Results -- 4.1 Experimental Setup -- 4.2 Results and Discussion -- 5 Conclusion -- References -- Face Recognition by RBF with Wavelet, DCV and Modified LBP Operator Face Representation Methods -- Abstract -- 1 Introduction -- 2 Face Representation -- 2.1 Wavelet Transformation -- 2.2 Wavelet Packet Transformation -- 2.3 Discriminative Common Vector -- 2.4 Proposed Local Binary Pattern -- 3 Recognition by Radial Basis Function Neural Network -- 3.1 Algorithm -- 4 Results and Discussions -- 5 Conclusion -- References -- DNN-HMM Acoustic Modeling for Large Vocabulary Telugu Speech Recognition -- 1 Introduction -- 2 IIIT-H Telugu Speech Corpus -- 3 System Overview -- 4 DNN-HMM Modeling -- 4.1 Deep Neural Networks -- 4.2 Ergodic HMMs -- 4.3 Training for DNN-HMM -- 4.4 Testing for DNN-HMM -- 5 Results and Discussion -- 6 Conclusion and Future Scope -- References -- Memetic Algorithm Based on Global-Best Harmony Search and Hill Climbing for Part of Speech Tagging -- Abstract -- 1 Introduction -- 2 Related Works. 2.1 Traditional Approaches to Build POS Taggers -- 2.2 Metaheuristic Algorithms as an Approach to Build POS Taggers -- 2.3 Tagsets for Tagging Corpus and Tagged Corpus -- 3 Harmony Search Algorithm -- 4 Algorithm Proposed for the Tagging Problem -- 4.1 Part-of-Speech Tagging (POST) Problem -- 4.2 Part-of-Speech Tagging as an Optimization Problem -- 4.3 Global-Best Harmony Search Tagger -- 5 Experiments, Analyses, and Comparisons -- 5.1 Configuration -- 5.2 Results -- 6 Conclusions and Future Work -- Acknowledgements -- References -- A Study on Crossmodal Correspondence in Sensory Pathways Through Forced Choice Task and Frequency Ba ... -- Abstract -- 1 Introduction -- 2 Theory -- 3 Materials and Methods -- 3.1 Participants -- 3.2 Stimuli -- 3.3 Procedure -- 3.4 Analysis of Words -- 4 Results and Discussion -- 5 Conclusions -- References -- Point Process Modeling of Spectral Peaks for Low Resource Robust Speech Recognition -- 1 Introduction -- 2 Baseline HMM Recognizer -- 3 Spectral Peak Based Point Process Representation of Speech -- 3.1 Identification of Spectral Peaks -- 3.2 Removal of Spurious Spectral Peaks -- 4 Bankwise Segmentation of Spectral Peaks -- 5 Point Process Model Based Isolated Word Recognizer -- 6 Experimentation and Results -- 7 Conclusion -- References -- Significance of DNN-AM for Multimodal Sentiment Analysis -- 1 Introduction -- 2 Databases -- 2.1 Spanish Database -- 2.2 Hindi Database -- 3 Audio Sentiment Classification -- 3.1 DNNAM -- 4 Sentiment Analysis Using Text Features -- 5 Multimodal Sentiment Analysis -- 6 Summary and Conclusions -- References -- Pattern Based Information Retrieval Approach to Discover Extremist Information on the Internet -- Abstract -- 1 Introduction -- 2 Proposed Approach -- 2.1 General Scheme -- 2.2 "N-Gram Vs Sentence" Matrix Text Representation Model -- 2.3 Extracting Hidden Topics Using ONMF. 2.4 Using N-Gram Based Topics for Keywords Extraction and Document's Relevance Estimation. |
Record Nr. | UNINA-9910483935103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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