LEADER 12523nam 22007575 450 001 996565865703316 005 20231126232017.0 010 $a3-031-49018-5 024 7 $a10.1007/978-3-031-49018-7 035 $a(MiAaPQ)EBC30974062 035 $a(Au-PeEL)EBL30974062 035 $a(DE-He213)978-3-031-49018-7 035 $a(EXLCZ)9929084009200041 100 $a20231126d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications$b[electronic resource] $e26th Iberoamerican Congress, CIARP 2023, Coimbra, Portugal, November 27?30, 2023, Proceedings, Part I /$fedited by Verónica Vasconcelos, Inês Domingues, Simão Paredes 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (764 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14469 311 08$aPrint version: Vasconcelos, Verónica Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications Cham : Springer,c2024 327 $aIntro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Deblur Capsule Networks -- 1 Introduction -- 2 Related Works -- 3 Deblur Capsule Networks -- 3.1 Blur Type Classification -- 3.2 Point Spread Function Reconstruction -- 3.3 Image Deep Regularized Deconvolution -- 4 Experiments and Analysis -- 4.1 DbCN Optimization Procedure -- 4.2 Synthetic Camera Motion Blur -- 4.3 Synthetic Multi-domain Blur -- 4.4 Ablation Study -- 5 Conclusions and Future Works -- References -- Graph Embedding of Almost Constant Large Graphs -- 1 Introduction -- 2 Graphs and Graph Embedding -- 3 GraphFingerprint: An Embedding for Almost Constant Graphs -- 3.1 Algorithm Input Parameters -- 3.2 Local Substructures -- 3.3 GraphFingerprint Definition -- 3.4 GraphFingerprint Examples -- 4 Experimental Section -- 4.1 From Metal-Oxide Nanocompound to GraphFingerprint -- 4.2 Toxicity Prediction Based on Global Features -- 4.3 Toxicity Prediction Based on GraphFingerprints -- 4.4 Toxicity Prediction Based on Global Features and GraphFingerprints -- 5 Conclusions -- 6 Future Work -- References -- Feature Importance for Clustering -- 1 Introduction -- 2 Cluster Analysis -- 3 Proposed Methods -- 3.1 Prototype-Based Feature Importance -- 3.2 SHAP-Based Feature Importance -- 4 Experimental Simulations -- 5 Concluding Remarks -- References -- Uncovering Manipulated Files Using Mathematical Natural Laws -- 1 Introduction -- 2 Related Work -- 3 Benford's Law Fundamentals -- 3.1 Benford's Law Statement -- 4 Dataset -- 5 Benford's Law-Based Method -- 5.1 Pre-processing -- 5.2 Processing -- 5.3 Median Absolute Deviation -- 5.4 Evaluation Metrics -- 6 Results -- 6.1 Analysis of Results -- 7 Conclusions and Future Work -- References -- History Based Incremental Singular Value Decomposition for Background Initialization and Foreground Segmentation -- 1 Introduction. 327 $a2 Related Work -- 2.1 Identification of SFOs -- 2.2 Background Dependency -- 3 Methodology -- 3.1 Notation and Preliminaries -- 3.2 Computation of Incremental SVD -- 3.3 History Based Incremental SVD (hi-SVD) -- 4 Experimental Results -- 4.1 Datasets -- 4.2 SFO Status Identification Experiment -- 4.3 Foreground Segmentation Experiment -- 5 Conclusion -- References -- Vehicle Re-Identification Based on Unsupervised Domain Adaptation by Incremental Generation of Pseudo-Labels -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 DBSCAN Pseudo-Labels -- 3.2 Fine-Tuning -- 3.3 Unsupervised Domain Adaptation -- 4 Experimental Validation -- 4.1 Dataset and Evaluation Environment -- 4.2 Implementation Details -- 4.3 Ablation Study for Eps-Neighborhood in DBSCAN -- 4.4 Ablation Study for Increasing the Number of Cycles in the Generation of Pseudo-Labels -- 5 Conclusions -- References -- How to Turn Your Camera into a Perfect Pinhole Model -- 1 Introduction -- 2 Methods -- 2.1 Gaussian Processes -- 2.2 Constructing an Ideal Pinhole Camera -- 2.3 The Datasets -- 3 Results -- 3.1 Collineation Assumption -- 3.2 Reprojection Error -- 3.3 Distortion Removal -- 4 Discussion -- 5 Conclusion -- A Zhang's Method -- B Simplified Zhang's Method -- References -- Single Image HDR Synthesis with Histogram Learning -- 1 Introduction -- 2 Method -- 2.1 LDR2EDR by Histogram and Resolution difference -- 2.2 EDR2HDR by Cumulative Histogram Learning -- 2.3 Fine-Tuning with Reinforcement Learning -- 3 Experiments -- 4 Conclusion -- References -- But That's Not Why: Inference Adjustment by Interactive Prototype Revision -- 1 Introduction -- 2 Prototype-Based Learning -- 3 Interactive Prototype Revision -- 4 Results -- 5 Conclusion -- References -- Teaching Practices Analysis Through Audio Signal Processing -- 1 Introduction -- 2 Related Work -- 3 Dataset Description. 327 $a4 Classroom Activity Detection -- 4.1 Training and Testing Data -- 4.2 Unsupervised Diarization Approach -- 4.3 Supervised Audio Classification -- 4.4 Experiments and Results -- 5 Additional Tools for English Lessons Analysis -- 5.1 Language Detection -- 5.2 Key Phrases Matching -- 5.3 User Interface for Education Technicians -- 6 Conclusions and Further Work -- References -- Time Distributed Multiview Representation for Speech Emotion Recognition -- 1 Introduction -- 2 Related Work -- 3 Proposed Strategy -- 3.1 Database Description -- 3.2 General Architecture -- 3.3 Step 1 - Initial Procedures -- 3.4 Steps 2 and 3 - Algorithms and Combiner -- 3.5 Steps 4 and 5 - LSTM and Emotion Classification -- 4 Experimental Results -- 4.1 Experiment 1 - Results for All RAVDESS Database -- 4.2 Experiment 2 - Database Divided by Intensity -- 4.3 Experiment 3 - LOSO Protocol -- 5 Discussions -- 6 Conclusion -- References -- Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification -- 1 Introduction -- 2 Materials and Methods -- 2.1 Image Database -- 2.2 Methodology -- 3 Results and Discussion -- 3.1 Feature Evaluation -- 3.2 Performance of the HP Classifier -- 4 Conclusion -- References -- Abandoned Object Detection Using Persistent Homology -- 1 Introduction -- 2 From Background Subtraction to Simplicial Complex -- 3 Surveillance Points -- 4 Filtration -- 5 Persistent Homology and Topological Signature -- 6 Detecting Abandoned Objects -- 7 Experimental Results -- 8 Conclusion and Future Works -- References -- Interactive Segmentation with Incremental Watershed Cuts -- 1 Introduction -- 2 Watershed Cuts -- 3 Semi-supervised Watershed Cut Algorithm with Interactions -- 3.1 Tree-Node Marking -- 3.2 Pixel Labeling -- 3.3 Incremental Workflow -- 4 Experiments -- 4.1 Experiment with User Generated Seeds. 327 $a4.2 Experiment with Randomly Generated Seeds -- 5 Conclusion -- References -- Supervised Learning of Hierarchical Image Segmentation -- 1 Introduction -- 2 Ultrametric Dataset -- 3 Model -- 4 Evaluation Metrics -- 5 Experiments -- 6 Conclusion -- References -- Unveiling the Influence of Image Super-Resolution on Aerial Scene Classification -- 1 Introduction -- 2 Super-Resolution -- 2.1 Super-Resolution Convolution Neural Network (SRCNN) -- 2.2 Modified 3D Residual-in-Residual Dense Block (m3DRRDB) -- 2.3 SwinIR Transformer -- 3 Scene Classification -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimental Settings -- 5 Results and Discussion -- 5.1 Experiment 1: Ranking of Super-Resolution Methods -- 5.2 Experiment 2: Impact of Super-Resolution on Aerial Scene Classification -- 6 Conclusion -- References -- Weeds Classification with Deep Learning: An Investigation Using CNN, Vision Transformers, Pyramid Vision Transformers, and Ensemble Strategy -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Datasets -- 3.2 Models -- 3.3 Ensemble -- 3.4 Evaluation -- 3.5 Training Configuration -- 3.6 Execution Environment -- 4 Results and Discussion -- 5 Conclusions -- References -- Leveraging Question Answering for Domain-Agnostic Information Extraction -- 1 Introduction -- 2 Related Work -- 3 Question Answering for Information Extraction -- 3.1 Models and Questions -- 3.2 Approach -- 3.3 Visual Explainability on Evaluation -- 4 Case Studies -- 4.1 Application to Toxicology Analysis -- 4.2 Application to Finance -- 5 Conclusion -- References -- Towards a Robust Solution for the Supermarket Shelf Audit Problem: Obsolete Price Tags in Shelves -- 1 Introduction -- 2 Dataset Collection -- 3 Proposed Approach -- 3.1 Image-to-Text Track -- 3.2 Localization Track -- 3.3 Selection Track -- 3.4 Report Generation -- 4 Results -- 5 Conclusions and Future Works. 327 $aReferences -- A Self-Organizing Map Clustering Approach to Support Territorial Zoning -- 1 Introduction -- 2 Related Work -- 2.1 Zoning with Self-Organizing Maps -- 2.2 Clustering Ordinal Categorical Data -- 3 Material and Methods -- 3.1 The Alto Taquari Basin - MS/MT, Brazil -- 3.2 Clustering Categorical Ordinal Data -- 3.3 Clustering Assessing -- 4 Results and Discussion -- 5 Conclusions -- References -- Spatial-Temporal Graph Transformer for Surgical Skill Assessment in Simulation Sessions -- 1 Introduction -- 2 Proposed Approach -- 2.1 Spectral Graph Convolutional Networks -- 2.2 Transformer Encoder -- 2.3 Surgical Skill Classifier -- 3 Experimental Results -- 3.1 Dataset -- 3.2 Data Preprocessing -- 3.3 Results -- 4 Conclusion -- References -- Deep Learning in the Identification of Psoriatic Skin Lesions -- 1 Introduction -- 2 Background and Literature Review -- 3 Methodology -- 3.1 Understanding the Problem -- 3.2 Deep Learning -- 3.3 Dataset -- 3.4 Classification Architectures -- 3.5 Training -- 4 Results -- 4.1 CLAHE -- 4.2 Type of Input Image -- 4.3 Data Augmentation -- 5 Discussion -- 6 Mobile Application -- 7 Conclusion -- References -- WildFruiP: Estimating Fruit Physicochemical Parameters from Images Captured in the Wild -- 1 Introduction -- 2 Related Work -- 2.1 Detection Methods -- 2.2 Segmentation Methods -- 2.3 Methods for Estimating Fruit Ripeness in Images -- 3 Proposed Method -- 3.1 Fruit Detection and Segmentation -- 3.2 Image Alignment -- 3.3 Determination of Physicochemical Parameters -- 4 Dataset -- 5 Experiments -- 5.1 Implementation Details -- 5.2 Metrics -- 5.3 Performance of the Proposed Approach -- 5.4 Impact of Alignment Phase -- 5.5 Impact of Model Architecture -- 5.6 Hard Samples -- 6 Conclusion and Future Work Prospects -- References. 327 $aDepression Detection Using Deep Learning and Natural Language Processing Techniques: A Comparative Study. 330 $aThis 2-volume set, LNCS 14469 and 14470, constitutes the proceedings of the 26th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2023, which took place in Coimbra, Portugal, in November 2023. The 61 papers presented were carefully reviewed and selected from 106 submissions. And present research in the fields of pattern recognition, artificial intelligence, and related areas. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14469 606 $aPattern recognition systems 606 $aMachine learning 606 $aComputer vision 606 $aComputer engineering 606 $aComputer networks 606 $aApplication software 606 $aAutomated Pattern Recognition 606 $aMachine Learning 606 $aComputer Vision 606 $aComputer Engineering and Networks 606 $aComputer and Information Systems Applications 615 0$aPattern recognition systems. 615 0$aMachine learning. 615 0$aComputer vision. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aApplication software. 615 14$aAutomated Pattern Recognition. 615 24$aMachine Learning. 615 24$aComputer Vision. 615 24$aComputer Engineering and Networks. 615 24$aComputer and Information Systems Applications. 676 $a006.4 700 $aVasconcelos$b Verónica$01448669 701 $aDomingues$b Inês$01369721 701 $aParedes$b Simão$01448670 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996565865703316 996 $aProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications$93644362 997 $aUNISA LEADER 04739oam 2200709I 450 001 9910791135603321 005 20230721012110.0 010 $a1-134-04126-8 010 $a1-134-04127-6 010 $a1-282-73357-5 010 $a9786612733574 010 $a0-203-87761-6 035 $a(CKB)2560000000009764 035 $a(EBL)439156 035 $a(OCoLC)642660919 035 $a(SSID)ssj0000419165 035 $a(PQKBManifestationID)11251992 035 $a(PQKBTitleCode)TC0000419165 035 $a(PQKBWorkID)10381621 035 $a(PQKB)11086909 035 $a(Au-PeEL)EBL439156 035 $a(CaPaEBR)ebr10394458 035 $a(CaONFJC)MIL273357 035 $a(OCoLC)645061024 035 $a(MiAaPQ)EBC439156 035 $a(EXLCZ)992560000000009764 100 $a20180727h20092008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 04$aThe handbook of child and adolescent psychotherapy $epsychoanalytic approaches /$fedited by Monica Lanyado and Ann Horne 205 $a2nd ed. 210 1$aBoca Raton, FL :$cRoutledge, an imprint of Taylor and Francis,$d[2009]. 210 4$d©2008. 215 $a1 online resource (481 p.) 300 $aDescription based upon print version of record. 311 $a0-415-46369-6 311 $a0-415-46368-8 320 $aIncludes bibliographical references and index. 327 $aBook Cover; Title; Copyright; Contents; Contributors; Acknowledgements; 1 Introduction; Part I: Theoretical foundations; 2 The roots of child and adolescent psychotherapy in psychoanalysis; 3 Normal emotional development; 4 Some contributions of attachment theory and research; 5 Neuroscience and child psychotherapy; 6 Research in child and adolescent psychotherapy: an overview; Part II: Context; 7 The child psychotherapist in the multi-disciplinary team; 8 Race, culture and the therapeutic process; 9 The international scene; Part III: Diversity of treatments and settings 327 $a10 The therapeutic setting and process11 Individual psychoanalytic psychotherapy: assessment, intensive and non-intensive work; 12 Brief psychotherapy and therapeutic consultations: How much therapy is 'good-enough'?; 13 Work with parents; 14 Parent-infant psychotherapy; 15 Group psychotherapy: the role of the therapist; 16 Working within schools and alternative educational settings; 17 The challenges of in-patient work in a therapeutic community; 18 Consultation in residential care; Part IV: Areas of special interest; 19 Child psychotherapy with children on the autistic spectrum 327 $a20 Psychotherapy with severely traumatised children and adolescents21 Child psychotherapy for children looked after by local authorities; 22 Working with foster carers; 23 Sexual abuse and sexual abusing in childhood and adolescence; 24 The roots of violence: theory and implications for technique with children and adolescents; 25 Psychotherapeutic work with children and adolescents seeking refuge from political violence; 26 Delinquency; 27 Working with people with eating disorders:'What if I die without knowing why?'; 28 Gender identity dysphoria; Index 330 3 $aThis updated edition of The Handbook of Child and Adolescent Psychotherapy reflects the many changes in the profession. It includes: additional chapters on neuroscience, work with ?looked after children? and with foster parents, working in schoolschapters on areas of specialist interest including violence, sexual abuse and abusing, trauma, parent-infant psychotherapy, autism, victims of political violence, delinquency andgender dysphoria.enlarged chapters on research, attachment theory, work with parents, and developments in child and adolescent psychotherapy around the worldThe Handbook remains accessible and jargon-free. It will be a valuable resource for all who work in allied professions where the emotional well-being of children is of concern ? health, education, social services ? as well as trainee psychotherapists and experienced practitioners. 606 $aPsychodynamic psychotherapy for children 606 $aPsychodynamic psychotherapy for teenagers 606 $aChild analysis 606 $aAdolescent analysis 615 0$aPsychodynamic psychotherapy for children. 615 0$aPsychodynamic psychotherapy for teenagers. 615 0$aChild analysis. 615 0$aAdolescent analysis. 676 $a618.92/8914 702 $aHorne$b Ann$f1944- 702 $aLanyado$b Monica$f1949- 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910791135603321 996 $aThe handbook of child and adolescent psychotherapy$93769809 997 $aUNINA LEADER 04620nam 22006015 450 001 9910523776803321 005 20251113211754.0 010 $a3-658-35087-3 024 7 $a10.1007/978-3-658-35087-1 035 $a(MiAaPQ)EBC6838914 035 $a(Au-PeEL)EBL6838914 035 $a(CKB)20275211900041 035 $a(OCoLC)1292362342 035 $a(DE-He213)978-3-658-35087-1 035 $a(EXLCZ)9920275211900041 100 $a20211217d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDifficult Situations in Business Coaching $ePractical Examples, Perspectives and Possibilities for Action /$fby Heidi Möller, Jannik Zimmermann 205 $a1st ed. 2022. 210 1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer,$d2022. 215 $a1 online resource (188 pages) 225 1 $aBehavioral Science and Psychology Series 311 08$aPrint version: Möller, Heidi Difficult Situations in Business Coaching Wiesbaden : Springer Fachmedien Wiesbaden GmbH,c2021 9783658350864 320 $aIncludes bibliographical references. 327 $aKassel study on difficult situations from the perspective of coaches -- Examples from practice -- Presentation of different perspectives and suggestions for action from successful practitioners -- Scientifically sound and practice-oriented. 330 $aCoaches encounter a range of situations in their professional practice that they experience as difficult. The challenges have different sources. They can come from the coaches themselves, the coachees or the commissioning organization. But how do these situations present themselves in detail? How can coaches understand them and respond appropriately? Using real case studies collected online, this book takes a closer look at difficult situations. In doing so, renowned coaches present for discussion their theoretical and methodological perspectives and their recommendations for action. This book is a translation of the original German 1st edition Schwierige Situationen im Business-Coaching by Heidi Möller and Jannik Zimmermann, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors. The Content Kassel study on difficult situations from the coaches' perspective Examples from practice Presentation of different perspectives and suggestions for action from successful practitioners Scientifically based and practice-oriented The Target Groups coaches and coach supervisors people in further training to become a coach Human Resource managers academics and students The Authors Heidi Möller is Professor of Theory and Methodology of Counseling at the University of Kassel. She has been consulting individuals, teams, and organizations in a wide variety of industries with a systemicpsychodynamic perspective for 25 years. Her scientific focus is on outcome and process research of different counseling formats. She leads the postgraduate master's program in Coaching, Supervision, and Organizational Consulting (COS) in addition to teaching in the psychology programs. Jannik Zimmermann, M.Sc. is a business psychologist and coach. He has been working as a research associate at the Department of Theory and Methodology of Counseling at the University of Kassel since 2020. His research interests relate to work-related counseling formats. 410 0$aBehavioral Science and Psychology Series 606 $aPsychology, Industrial 606 $aPersonal coaching 606 $aSupervision 606 $aWork and Organizational Psychology 606 $aCoaching 606 $aSupervision 615 0$aPsychology, Industrial. 615 0$aPersonal coaching. 615 0$aSupervision. 615 14$aWork and Organizational Psychology. 615 24$aCoaching. 615 24$aSupervision. 676 $a658.3124 700 $aMo?ller$b Heidi$01079055 702 $aZimmermann$b Jannik 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910523776803321 996 $aDifficult Situations in Business Coaching$92591502 997 $aUNINA