AdaBoost – Bücher zum Thema AdaBoost finden und kaufen

Advanced Supervised and Semi-supervised Learning

Massih-Reza Amini
Springer International Publishing
64.19 € · Hardcover

Supervised Learning Deep Learning Learning-to-Rank Rademacher Complexity Semi-supervised Learning Support Vector Machine Machine Learning Optimization Algorithms Boosting Descent Direction Optimization Empirical Risk Minimization AdaBoost

Machine learning is one of the leading areas of artificial intelligence. It concerns the study and development of quantitative models that enable a computer to carry out operations without having been expressly programmed to do so. In this situation, learning is about identifying complex shapes and ...

Classical Machine Learning

Sanad Aburass, Ibrahim Aljarah
Springer International Publishing
80.24 € · Hardcover

Artificial Neural Networks Feature Extraction Cubixel Deep Learning Convolutional Neural Networks Decision Trees Random Forests Recurrent Neural Networks Naïve Bayes Ensemble Learning Transfer Learning Unsupervised Learning AdaBoost Gradient Learning Clustering

The field of Artificial Intelligence (AI) has rapidly transformed in recent years, with Machine Learning being now one of its most impactful and widely applied branches. From intelligent recommendation systems to self-driving cars, and from language translation to medical diagnosis, Machine Learning...

A Hybrid Data-Model and AI-Driven Approach for Structural Monitoring in Hazardous Construction

Qiang Li, Peixuan Wang, Bawar Iftikhar, Yan Jiang, Mingfeng Huang
Springer Singapore
32.09 € · Hardcover

Open Access hybrid data-model approach CNN-BiLSTM-AdaBoost tower crane high-formwork support system computer vision monitoring threshold update response prediction

This open access book addresses a critical challenge in modern construction: ensuring the safety of hazardous and complex engineering structures, such as super-tall buildings and large-span structures characterized by their slenderness and scale. The widespread use of these critical structures neces...

Efficient Multi-Class Object Detection

Philipp Zehnder
Hartung-Gorre
64 € · Paperback

AdaBoost Cascade of Classifiers Feature Sharing Haar Features Machine Learning Multi-Class Object Detection SVM

...

Advanced Supervised and Semi-supervised Learning

Massih-Reza Amini
Springer International Publishing
64.19 € · eBook

Supervised Learning Deep Learning Learning-to-Rank Rademacher Complexity Semi-supervised Learning Support Vector Machine Machine Learning Optimization Algorithms Boosting Descent Direction Optimization Empirical Risk Minimization AdaBoost

Machine learning is one of the leading areas of artificial intelligence. It concerns the study and development of quantitative models that enable a computer to carry out operations without having been expressly programmed to do so. In this situation, learning is about identifying complex shapes and ...

Classical Machine Learning

Sanad Aburass, Ibrahim Aljarah
Springer International Publishing
80.24 € · eBook

Artificial Neural Networks Feature Extraction Cubixel Deep Learning Convolutional Neural Networks Decision Trees Random Forests Recurrent Neural Networks Naïve Bayes Ensemble Learning Transfer Learning Unsupervised Learning AdaBoost Gradient Learning Clustering

The field of Artificial Intelligence (AI) has rapidly transformed in recent years, with Machine Learning being now one of its most impactful and widely applied branches. From intelligent recommendation systems to self-driving cars, and from language translation to medical diagnosis, Machine Learning...

Traffic-Sign Recognition Systems

Sergio Escalera, Xavier Baró, Oriol Pujol, Jordi Vitrià, Petia Radeva
Springer London
53.49 € · eBook

Adaboost Embedding of dichotomizers Error correcting output codes Multi-class classification Object recognition Traffic sign classification

This work presents a full generic approach to the detection and recognition of traffic signs. The approach is based on the latest computer vision methods for object detection, and on powerful methods for multiclass classification. The challenge was to robustly detect a set of different sign classes ...

Entwicklung eines Fußgängererkennungssystems für das Markierende Licht auf Basis einer Fusion von Nah- und Ferninfrarotkameras

Hendrik Honsel
TEWISS
44 € · Paperback

Adaboost FIR Fußgängererkennung LED-Array-Scheinwerfer Markierendes Licht NIR lichtbasiertes Fahrerassistenzsystem

Zur besseren Erkennung von Objekten im nächtlichen Straßenverkehr werden bereits Fahrerassistenzsysteme wie das blendfreie Fernlicht und warnende Nachtsichtsysteme eingesetzt. Das Markierende Licht ist ein weiteres lichtbasiertes Fahrerassistenzsystem, welches die Aufmerksamkeit des Fahrers mithil...

Merkmalsbasierte Fusion einer NIR-Kamera und eines bildgebenden Radarsensors zur Fußgängerwarnung bei Nacht

Matthias Serfling
Shaker
48.8 € · Buch

AdaBoost Fußgängerwarnung Nachtsichtsystem Rohdatenfusion Sensordatenfusion

Die aktuelle zweite Generation von Nachtsichtassistenzsystemen nutzt nahinfrarot oder ferninfrarot Kamerasysteme mit integrierten Systemen zur Erkennung von Fußgängern, die dem Fahrer auf einem Display im Cockpit angezeigt werden. Dem Fahrer wird dadurch eine frühere Erkennung von Fußgängern er...

Minimum Gamma-Divergence for Regression and Classification Problems

Shinto Eguchi
Springer Singapore
53.49 € · Paperback

Gamma-Divergence Geometric Mean Poisson Distribution Multi-Class Classification AdaBoost Boltzmann Machine

This book introduces the gamma-divergence, a measure of distance between probability distributions that was proposed by Fujisawa and Eguchi in 2008. The gamma-divergence has been extensively explored to provide robust estimation when the power index γ is positive. The gamma-divergence can be define...

Minimum Gamma-Divergence for Regression and Classification Problems

Shinto Eguchi
Springer Singapore
53.49 € · eBook

Gamma-Divergence Geometric Mean Poisson Distribution Multi-Class Classification AdaBoost Boltzmann Machine

This book introduces the gamma-divergence, a measure of distance between probability distributions that was proposed by Fujisawa and Eguchi in 2008. The gamma-divergence has been extensively explored to provide robust estimation when the power index γ is positive. The gamma-divergence can be define...

Traffic-Sign Recognition Systems

Sergio Escalera, Xavier Baró, Oriol Pujol, Jordi Vitrià, Petia Radeva
Springer London
53.49 € · Paperback

Adaboost Embedding of dichotomizers Error correcting output codes Multi-class classification Object recognition Traffic sign classification

This work presents a full generic approach to the detection and recognition of traffic signs. The approach is based on the latest computer vision methods for object detection, and on powerful methods for multiclass classification. The challenge was to robustly detect a set of different sign classes ...

Learning to Understand Remote Sensing Images

MDPI
€ · Paperback

hyperspectral image classification SELF SVMs Segment-Tree Filtering multi-sensor change feature analysis object-based multispectral images heterogeneous domain adaptation transfer learning multi-view canonical correlation analysis ensemble semi-supervised learning canonical correlation weighted voting ensemble learning image classification

With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remot...