1.

Record Nr.

UNISA990005512140203316

Autore

MARI, Dominique Drouet

Titolo

Correlation and dependence / Dominique Drouet Mari, Samuel Kotz

Pubbl/distr/stampa

London : Imperial College Press, c2001

Descrizione fisica

XIV, 219 p. ; 22 cm

Altri autori (Persone)

KOTZ, Samuel

Disciplina

001.422

Soggetti

Statistica

Collocazione

000 001.422 MAR

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910789436803321

Autore

Kwan Joseph

Titolo

Joomla! VirtueMart 1.1 theme and template design [[electronic resource] ] : give a unique look and feel to your VirtueMart e-commerce store / / Joseph Kwan

Pubbl/distr/stampa

Birmingham, U.K., : Packt Open Source Pub., 2011

ISBN

1-283-34939-6

9786613349392

1-84951-455-0

Descrizione fisica

1 online resource (610 p.)

Collana

Community experience distilled

Disciplina

006.7/8

006.786

Soggetti

Web sites - Authoring programs

Web site development

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.



Nota di contenuto

Joomla! VirtueMart 1.1 Theme and Template Design; Joomla! VirtueMart 1.1 Theme and Template Design; Credits; About the Author; About the Reviewer; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Joomla! VirtueMart versions; Basic Joomla! VirtueMart concepts you will need to know; Joomla! components, modules, plugins, and templates; VirtueMart modules, themes, and templates; Child products, advanced attribute, custom attribute, and product type

Who this book is forConventions; Reader feedback; Customer support; Downloading the example code for this book; Errata; Piracy; Questions; 1. The VirtueMart Engine; Navigating through the Joomla!/VirtueMart directories; Structure of the Joomla! URL path; Exercise 1.1: Making the Joomla! backend default to VirtueMart; Joomla! 1.5 presentation framework; Models; Views; Controllers; VirtueMart presentation framework; The class files - Data tier; The templates files - Presentation tier; The page files - Business logic tier; Roles of VirtueMart themes and templates; Ways to customize VirtueMart

Textual changesExercise 1.2: Customizing a language element; Steps; Notes; Layout changes; Frontend behavior changes; Modifying available template fields; Adding data fields; Modifying processing logic; Creating a new theme; Integrating with an external system; Other customizations; Before starting your project; Determining the scope of project; Locating file that needs modifications; Assessing your skills-determine whether to do it in-house or outsource; Back up data and files; Assessing impact on the site; Consider future upgrade compatibility; Implement design; Testing and debugging

Going liveSummary; 2. The VirtueMart Default Theme; The shopping life cycle; Landing page; The product listing; The product detail; The shop cart; Checkout; Account maintenance; Shopping digression; VirtueMart configuration; Global; Security; Site; Shipping; Checkout; Downloads; Feed Configuration; VirtueMart site configuration; Display subsection; Layout subsection; The default theme configuration; VirtueMart template groups; browse; product_details; basket; checkout; order_emails; common; pages; Summary; 3. Product List Templates; The product list page; Looking at our first template

HTML fragmentsPHP crash course; Available fields; Core browse templates; Exercise 3.1: Adding an Ask-Seller link to the browse page; Steps; Notes; Exercise 3.2: Changing core browse template CSS; Preparation; Steps; Notes; Exercise 3.3: Moving and modifying data; Preparation; Steps; Notes; Header templates; Exercise 3.4: Adding a category banner; Preparation; Steps; Notes; Navigation templates; Exercise 3.5: Using a custom sort order form; Steps; Notes; Add-to-cart form template; Exercise 3.6: Showing the add-to-cart button in all cases; Preparation; Steps; Notes; Addendum element templates

Product list style templates

Sommario/riassunto

Give a unique look and feel to your VirtueMart e-Commerce store



3.

Record Nr.

UNINA9910512188703321

Titolo

Neural Information Processing : 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part IV / / edited by Teddy Mantoro, Minho Lee, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayanto

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021

ISBN

3-030-92273-1

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (718 pages)

Collana

Theoretical Computer Science and General Issues, , 2512-2029 ; ; 13111

Disciplina

006.32

Soggetti

Pattern recognition systems

Artificial intelligence

Education - Data processing

Computer engineering

Computer networks

Social sciences - Data processing

Automated Pattern Recognition

Artificial Intelligence

Computers and Education

Computer Engineering and Networks

Computer Application in Social and Behavioral Sciences

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Applications -- Deep Supervised Hashing By Classification For Image Retrieval -- Towards Human-level Performance in Solving Double Dummy Bridge Problem -- Coarse-to-Fine Visual Place Recognition -- BFConv: Improving Convolutional Neural Networks with Butterfly Convolution -- Integrating Rich Utterance Features for Emotion Recognition in Multi-party Conversations -- Vehicle Image Generation Going Well with the Surroundings -- Scale Invariant Domain Generalization Image Recapture Detection -- Tile2Vec with Predicting Noise for Land Cover Classification -- A Joint Representation Learning



Approach for Social Media Tag Recommendation -- Identity-based Data Augmentation via Progressive Sampling for One-Shot Person Re-identification -- Feature Fusion Learning Based on LSTM and CNN Networks for Trend Analysis of Limit Order Books -- WikiFlash: Generating Flashcards from Wikipedia Articles -- Video Face Recognition with Audio-Visual Aggregation Network -- WaveFuse: A Unified Unsupervised Framework forImage Fusion with Discrete Wavelet Transform -- Manipulation-invariant Fingerprints for Cross-dataset Deepfake Detection -- Low-resource Neural Machine Translation Using Fast Meta-Learning method -- Efficient, Low-Cost, Real-Time Video Super-Resolution Network -- On the Unreasonable Effectiveness of Centroids in Image Retrieval -- Few-shot Classification with Multi-task Self-supervised Learning -- Self-Supervised Compressed Video Action Recognition via Temporal-Consistent Sampling -- Stack-VAE network for Zero-Shot Learning -- TRUFM: a Transformer-guided Framework for Fine-grained Urban Flow Inference -- Saliency Detection Framework Based on Deep Enhanced Attention Network -- SynthTriplet GAN: Synthetic Query Expansion for Multimodal Retrieval -- SS-CCN: Scale Self-guided Crowd Counting Network -- QS-Hyper: A Quality-Sensitive Hyper Network for the No-Reference Image Quality Assessment -- An Efficient Manifold Density Estimator for All Recommendation Systems -- Cleora: A Simple, Strong and ScalableGraph Embedding Scheme -- STA3DCNN: Spatial-temporal Attention 3D Convolutional Neural Network for Citywide Crowd Flow Prediction -- Learning Pre-Grasp Pushing Manipulation of Wide and Flat Objects using Binary Masks -- Multi-DIP: A General Framework For Unsupervised Multi-degraded Image Restoration -- Multi-Attention Network for Arbitrary Style Transfer -- Image Brightness Adjustment with Unpaired Training -- Self-Supervised Image-to-Text and Text-to-Image Synthesis -- TextCut: A Multi-region Replacement Data Augmentation Approach for Text Imbalance Classification -- A Multi-task Model for Sentiment aided Cyberbullying Detection in Code-Mixed Indian Languages -- A Transformer-based Model for Low-resource Event Detection -- Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning -- Designing and Searching for Lightweight Monocular Depth Network -- Improving Question Answering over Knowledge Graphs Using Graph Summarization -- Multi-Stage Hybrid Attentive Networks for Knowledge-Driven Stock Movement Prediction -- End-to-End Edge Detection via Improved Transformer Model -- Isn’t it ironic, don’t you think -- Neural Local and Global Contexts Learning for Word Sense Disambiguation -- Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification -- Paraphrase Identification with Neural Elaboration Relation Learning -- Hybrid DE-MLP-based Modeling Technique for Prediction of Alloying Element Proportions and Process Parameters -- A Mutual Information-based Disentanglement Framework for Cross-Modal Retrieval -- AGRP:A Fused Aspect-Graph Neural Network for Rating Prediction -- Classmates Enhanced Diversity-self-attention Network for Dropout Prediction in MOOCs -- A Hierarchical Graph-based Neural Network for Malware Classification -- A Visual Feature Detection Algorithm Inspired by Spatio-temporal Properties of Visual Neurons -- Knowledge Distillation Method for Surface Defect Detection -- Adaptive Selection of Classifiers for Person Recognitionby Iris Pattern and Periocular Image -- Multi-Perspective Interactive Model for Chinese Sentence Semantic Matching -- An Effective Implicit Multi-Interest Interaction Network for Recommendation.

Sommario/riassunto

The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on



Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications.