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NetObjects Inc. Fusion 2015
63,99 € *
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NetObjects. Wir vertrauen in unsere Erfahrung und in neueste Technologie. NetObjects bereitet kleinen Unternehmen schon seit 1996 den Weg in die Welt des Internets. Mit über 15 Millionen verkauften Lizenzen genießt NetObjects weltweite Anerkennung als schnelle und leicht zu bedienende Möglichkeit Webseiten zu erstellen, zu verwalten und zu vermarkten. NetObjects Fusion unterstützt Unternehmen bei der Onlinevermarktung und dabei Informationen über das Internet zu verbreiten. So lässt sich das Unternehmens-Image verbessern und Wettbewerbsvorteil erreichen. Mit dem Ansatz, Internetpräsenzen auf Basis der Webseitengliederung zu erstellen, können Nutzer von NetObjects Fusion innerhalb weniger Minuten Ihre gesamte Internetpräsenz erstellen, während die Seitennavigation und Verlinkungen automatisch erstellt bzw. auf den neuesten Stand gebracht werden. Mit dutzenden professionell erstellten SiteStyles oder mit der Möglichkeit sein eigenes Layout zu erstellen, können Nutzer von NetObjects Fusion ohne Aufwand ein über die gesamte Webpräsenz konsistentes Design erstellen und einbinden. Texte, Grafiken und Multimedia-Dateien können mit pixelgenauer Präzision per Drag & Drop eingefügt werden. Das Übernehmen von HTML-Code aus anderen Quellen sowie das Erstellen eigenen Codes stellt in der verbesserten HTML-Ansicht kein Problem dar. Konsistente Formatierung ist ein Kinderspiel mit Cascading Style Sheets (CSS). Nutzer von NetObjects Fusion können sich zudem dynamisch mit Datenbanken verbinden und mit E-Commerce Geld verdienen ohne auch nur eine Zeile Code zu schreiben. Zusammengefasst ist NetObjects Fusion eine Komplettlösung, bei der sich alles um den Online-Erfolg kleiner Unternehmen dreht. Mit NetObjects Fusion kümmern Sie sich um Ihre ganze Webpräsenz, nicht nur auf einzelne Seiten, legen Sie den Focus aufs Design, nicht auf den Programmier-Code. Kurz: Konzentrieren Sie sich auf die Inhalte auf der Seite um Ihre Online-Ziele zu erreichen. NetObjects Fusion ist eine leistungsstarke überraschend einfach zu bedienende Webdesign-Software. Für Anfänger bietet NetObjects intuitive Assistenten und professionell erstellte Vorlagen, mit denen die Webseite in nur wenigen Minuten erstellt werden kann. Dafür sind keine Vorkenntnisse erforderlich. Erfahrene Web-Designer hingegen erhalten leistungsstarke Funktionen und Entwicklungstools zur Erstellung anspruchsvoller Online-Anwendungen. DIE WICHTIGSTEN VORTEILE VON NETOBJECTS FUSION 2015: Attraktive Websites erstellen Legen Sie Websites wie ein Profi an. Nutzen Ihre Kreativität und einfache, mausbediente Oberflächen, die keine Programmierung Kenntnisse erfordern. Die Komplettlösung NetObjects Fusion ist eine umfassende Lösung zum Erstellen von Websites, von der Planung über die Entwicklung und Verwaltung der Website, bis hin zu effektiven Marketing-Funktionen zum Aufbau Ihres Online-Geschäfts.. NetObjects Fusion enthält alles, was Sie für Webdesign, Bildbearbeitung, Datenbankkonnektivität, FTP, CSS- & HTML-Bearbeitung, Datensicherung, Animation, Aufgabenverwaltung, etc. benötigen. Zeitsparend Mit der intuitiven Benutzeroberfläche, dem Inhaltsmanagement und dem visuellen Design- und Layout-Editor erstellen Sie in kürzester Zeit eine eigene Online-Präsenz. Site-Assistent Wählen Sie zwischen zahlreichen professionellen Designvorlagen aus. In nur drei einfachen Schritten können Sie eine komplette Website mit maßgeschneiderten Inhalten erstellen. E-Commerce Verkaufen Sie Ihre Produkte online. Der integrierte Support für führende Zahlungsanbieter ermöglicht die schnelle und einfache Abwicklung von Onlinebestellungen. Analyse und SEO Integrierte Google™ Analytics-Funktionen liefern detaillierte Informationen über Website-Besucher und die automatische SEO (Suchmaschinenoptimierung) steigert die Besucherzahl. NetObjects CloudBurst™ Direktzugriff auf unsere Online-Bibliothek mit kostenlosen Vorlagen, lizenzgebührenfreie Bilder, SiteStyles und Anleitungen. Installieren Sie beliebig viele Objekte. NetObjects SiteSafe™ Sorgen Sie für einen automatischen Schutz Ihrer Website-Inhalte. Sie können Ihre Website problemlos aus lokalen, externen oder Online-Sicherungskopien wiederherstellen. NetObjects ImageBank™ Nutzen Sie hochwertige, lizenzgebührenfreie Bilder vollkommen kostenlos..So haben Sie immer das richtige Bild für Ihr nächstes Projekt zur Hand.

Anbieter: mysoftware
Stand: 24.11.2020
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Stone Eater: A Will Finch Mystery Thriller, Boo...
9,95 € *
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A reporter on the rebound.An ex-cop with nothing to lose.A murder they can only solve together.Stone Eater combines Michael Connelly's The Scarecrow with the pace of THe Bourne Ultimatum. Will Finch returns to the San Francisco eXpress convinced that Gianna Whitelaw was murdered. But everyone claims that she threw herself from the Golden Gate Bridge. Who can dispute the facts? Her suicide note posted on Facebook. Her fiancé, murdered. When her father, US Senator Franklin Whitelaw, demands that the press respect his privacy, the story is quietly shut down.Then Finch receives a mysterious text from Eve Noon. She knew Gianna. And she knows about Gianna’s intimate night with Finch. Her revelations could ruin his career. Will she destroy him, or can Finch use what Eve knows to crack open the case?If you love a gripping thriller series that crackles with the voltage of a technothriller trilogy, then grab the second installment in this new crime trilogy. This hot fusion of PI mysteries, an organized crime series, and noir crime new releases will keep you listening through the night!Great characters launch you on a wild ride through plot twists you never see coming your way. Stone Eater leaves you gasping and begging for more!Dear Listener,If you're like me then you love reading novels by Michael Connelly, Jeffery Deaver, John Sandford, Philip Kerr, Martin Cruz Smith, Patricia Highsmith, Stieg Larsson, Elmore Leonard and Jo Nesbo. Among many others.And if you like those writers, then I invite you to have a look at my crime series. You can buy them all on Amazon, or pick up a free novel at my website, dfbailey.com.Writing crimes novels isn't easy, but it's always a thrill. When you listen to my novels I hope you'll share the buzz, the excitement and the adrenaline rush with me.Like all writers, I lovelisteners who enjoy my books, especially those w 1. Language: English. Narrator: Art Procter. Audio sample: http://samples.audible.de/bk/acx0/196368/bk_acx0_196368_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 24.11.2020
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Content-Based Image Classification (eBook, ePUB)
34,95 € *
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Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to research with invaluable image data. Social Science Research Network has revealed that 65% of people are visual learners. Research data provided by Hyerle (2000) has clearly shown 90% of information in the human brain is visual. Thus, it is no wonder that visual information processing in the brain is 60,000 times faster than text-based information (3M Corporation, 2001). Recently, we have witnessed a significant surge in conversing with images due to the popularity of social networking platforms. The other reason for embracing usage of image data is the mass availability of high-resolution cellphone cameras. Wide usage of image data in diversified application areas including medical science, media, sports, remote sensing, and so on, has spurred the need for further research in optimizing archival, maintenance, and retrieval of appropriate image content to leverage data-driven decision-making. This book demonstrates several techniques of image processing to represent image data in a desired format for information identification. It discusses the application of machine learning and deep learning for identifying and categorizing appropriate image data helpful in designing automated decision support systems. The book offers comprehensive coverage of the most essential topics, including: Image feature extraction with novel handcrafted techniques (traditional feature extraction) Image feature extraction with automated techniques (representation learning with CNNs) Significance of fusion-based approaches in enhancing classification accuracy MATLAB® codes for implementing the techniques Use of the Open Access data mining tool WEKA for multiple tasks The book is intended for budding researchers, technocrats, engineering students, and machine learning/deep learning enthusiasts who are willing to start their computer vision journey with content-based image recognition. The readers will get a clear picture of the essentials for transforming the image data into valuable means for insight generation. Readers will learn coding techniques necessary to propose novel mechanisms and disruptive approaches. The WEKA guide provided is beneficial for those uncomfortable coding for machine learning algorithms. The WEKA tool assists the learner in implementing machine learning algorithms with the click of a button. Thus, this book will be a stepping-stone for your machine learning journey. Please visit the author's website for any further guidance at https://www.rikdas.com/

Anbieter: buecher
Stand: 24.11.2020
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Content-Based Image Classification (eBook, PDF)
34,95 € *
ggf. zzgl. Versand

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to research with invaluable image data. Social Science Research Network has revealed that 65% of people are visual learners. Research data provided by Hyerle (2000) has clearly shown 90% of information in the human brain is visual. Thus, it is no wonder that visual information processing in the brain is 60,000 times faster than text-based information (3M Corporation, 2001). Recently, we have witnessed a significant surge in conversing with images due to the popularity of social networking platforms. The other reason for embracing usage of image data is the mass availability of high-resolution cellphone cameras. Wide usage of image data in diversified application areas including medical science, media, sports, remote sensing, and so on, has spurred the need for further research in optimizing archival, maintenance, and retrieval of appropriate image content to leverage data-driven decision-making. This book demonstrates several techniques of image processing to represent image data in a desired format for information identification. It discusses the application of machine learning and deep learning for identifying and categorizing appropriate image data helpful in designing automated decision support systems. The book offers comprehensive coverage of the most essential topics, including: Image feature extraction with novel handcrafted techniques (traditional feature extraction) Image feature extraction with automated techniques (representation learning with CNNs) Significance of fusion-based approaches in enhancing classification accuracy MATLAB® codes for implementing the techniques Use of the Open Access data mining tool WEKA for multiple tasks The book is intended for budding researchers, technocrats, engineering students, and machine learning/deep learning enthusiasts who are willing to start their computer vision journey with content-based image recognition. The readers will get a clear picture of the essentials for transforming the image data into valuable means for insight generation. Readers will learn coding techniques necessary to propose novel mechanisms and disruptive approaches. The WEKA guide provided is beneficial for those uncomfortable coding for machine learning algorithms. The WEKA tool assists the learner in implementing machine learning algorithms with the click of a button. Thus, this book will be a stepping-stone for your machine learning journey. Please visit the author's website for any further guidance at https://www.rikdas.com/

Anbieter: buecher
Stand: 24.11.2020
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Content-Based Image Classification (eBook, ePUB)
34,95 € *
ggf. zzgl. Versand

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to research with invaluable image data. Social Science Research Network has revealed that 65% of people are visual learners. Research data provided by Hyerle (2000) has clearly shown 90% of information in the human brain is visual. Thus, it is no wonder that visual information processing in the brain is 60,000 times faster than text-based information (3M Corporation, 2001). Recently, we have witnessed a significant surge in conversing with images due to the popularity of social networking platforms. The other reason for embracing usage of image data is the mass availability of high-resolution cellphone cameras. Wide usage of image data in diversified application areas including medical science, media, sports, remote sensing, and so on, has spurred the need for further research in optimizing archival, maintenance, and retrieval of appropriate image content to leverage data-driven decision-making. This book demonstrates several techniques of image processing to represent image data in a desired format for information identification. It discusses the application of machine learning and deep learning for identifying and categorizing appropriate image data helpful in designing automated decision support systems. The book offers comprehensive coverage of the most essential topics, including: Image feature extraction with novel handcrafted techniques (traditional feature extraction) Image feature extraction with automated techniques (representation learning with CNNs) Significance of fusion-based approaches in enhancing classification accuracy MATLAB® codes for implementing the techniques Use of the Open Access data mining tool WEKA for multiple tasks The book is intended for budding researchers, technocrats, engineering students, and machine learning/deep learning enthusiasts who are willing to start their computer vision journey with content-based image recognition. The readers will get a clear picture of the essentials for transforming the image data into valuable means for insight generation. Readers will learn coding techniques necessary to propose novel mechanisms and disruptive approaches. The WEKA guide provided is beneficial for those uncomfortable coding for machine learning algorithms. The WEKA tool assists the learner in implementing machine learning algorithms with the click of a button. Thus, this book will be a stepping-stone for your machine learning journey. Please visit the author's website for any further guidance at https://www.rikdas.com/

Anbieter: buecher
Stand: 24.11.2020
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Content-Based Image Classification (eBook, PDF)
34,95 € *
ggf. zzgl. Versand

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to research with invaluable image data. Social Science Research Network has revealed that 65% of people are visual learners. Research data provided by Hyerle (2000) has clearly shown 90% of information in the human brain is visual. Thus, it is no wonder that visual information processing in the brain is 60,000 times faster than text-based information (3M Corporation, 2001). Recently, we have witnessed a significant surge in conversing with images due to the popularity of social networking platforms. The other reason for embracing usage of image data is the mass availability of high-resolution cellphone cameras. Wide usage of image data in diversified application areas including medical science, media, sports, remote sensing, and so on, has spurred the need for further research in optimizing archival, maintenance, and retrieval of appropriate image content to leverage data-driven decision-making. This book demonstrates several techniques of image processing to represent image data in a desired format for information identification. It discusses the application of machine learning and deep learning for identifying and categorizing appropriate image data helpful in designing automated decision support systems. The book offers comprehensive coverage of the most essential topics, including: Image feature extraction with novel handcrafted techniques (traditional feature extraction) Image feature extraction with automated techniques (representation learning with CNNs) Significance of fusion-based approaches in enhancing classification accuracy MATLAB® codes for implementing the techniques Use of the Open Access data mining tool WEKA for multiple tasks The book is intended for budding researchers, technocrats, engineering students, and machine learning/deep learning enthusiasts who are willing to start their computer vision journey with content-based image recognition. The readers will get a clear picture of the essentials for transforming the image data into valuable means for insight generation. Readers will learn coding techniques necessary to propose novel mechanisms and disruptive approaches. The WEKA guide provided is beneficial for those uncomfortable coding for machine learning algorithms. The WEKA tool assists the learner in implementing machine learning algorithms with the click of a button. Thus, this book will be a stepping-stone for your machine learning journey. Please visit the author's website for any further guidance at https://www.rikdas.com/

Anbieter: buecher
Stand: 24.11.2020
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Mazda Verisa
34,00 € *
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High Quality Content by WIKIPEDIA articles! The Mazda Verisa is a subcompact car based on the Ford B3 platform. It was launched by the Japanese automaker Mazda in 2004 and is only available in Japan. The Verisa can be considered either a 'tall hatchback' or a 'low mini MPV'. The relationship between the Mazda Verisa and the more popular Mazda Demio is similar to that of the Ford Fusion (Europe) and the Ford Fiesta. Its height of 1,530 mm (60.2 in) is similar to other Japanese boxy subcompact cars and lower than European mini MPVs like the Fiat Idea and Opel Meriva. According to Mazda the name Verisa was created by combining the Italian word 'verita' (truth) with the English word 'satisfaction', and the intended result of the term Verisa is to signify 'true fulfillment'. The car is built with the watchwords simple, quality and compact and is targeted towards couples in their 30s with individual style and values. There is a Japanese website that shows the Versia factory and shop options.

Anbieter: Dodax
Stand: 24.11.2020
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N.E.W.S
34,00 € *
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. N.E.W.S is a 2003 instrumental jazz fusion/funk album by Prince containing four tracks of fourteen minutes duration each. Recorded at Prince''s Paisley Park Studios over a single day, the album was initially available through Prince''s NPG Music Club website on May 26, 2003 before becoming widely commercially available on July 22. The album can be seen as a modern incarnation of Madhouse, but this time as a Prince release. Original Madhouse member Eric Leeds lends his talents, as well as The New Power Generation members John Blackwell, Rhonda Smith and Renato Neto. The album is reportedly the lowest selling Prince album released to date, with just 30,000 copies sold, but it did become a top ten hit on the Billboard internet sales chart, and garnered a Grammy nomination for "Best Pop Instrumental Performance".

Anbieter: Dodax
Stand: 24.11.2020
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Online Visual Tracking
103,05 € *
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This book presents the state of the art in online visual tracking, including the motivations, practical algorithms, and experimental evaluations. Visual tracking remains a highly active area of research in Computer Vision and the performance under complex scenarios has substantially improved, driven by the high demand in connection with real-world applications and the recent advances in machine learning. A large variety of new algorithms have been proposed in the literature over the last two decades, with mixed success.Chapters 1 to 6 introduce readers to tracking methods based on online learning algorithms, including sparse representation, dictionary learning, hashing codes, local model, and model fusion. In Chapter 7, visual tracking is formulated as a foreground/background segmentation problem, and tracking methods based on superpixels and end-to-end deep networks are presented. In turn, Chapters 8 and 9 introduce the cutting-edge tracking methods based on correlation filter and deep learning. Chapter 10 summarizes the book and points out potential future research directions for visual tracking.The book is self-contained and suited for all researchers, professionals and postgraduate students working in the fields of computer vision, pattern recognition, and machine learning. It will help these readers grasp the insights provided by cutting-edge research, and benefit from the practical techniques available for designing effective visual tracking algorithms. Further, the source codes or results of most algorithms in the book are provided at an accompanying website.

Anbieter: Dodax
Stand: 24.11.2020
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