Tag Archives: computer vision

REEMERGENCE IN COMPUTER VISION AND IMAGE PROCESSING

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Price: $15.99
(as of Dec 28,2024 05:08:16 UTC – Details)




ASIN ‏ : ‎ B0DP7S918F
Publisher ‏ : ‎ Independently published (November 28, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 118 pages
ISBN-13 ‏ : ‎ 979-8301591532
Item Weight ‏ : ‎ 13.4 ounces
Dimensions ‏ : ‎ 8.27 x 0.27 x 11.69 inches


Computer vision and image processing technologies have seen a reemergence in recent years, thanks to advancements in artificial intelligence and machine learning. These technologies are revolutionizing industries such as healthcare, automotive, retail, and security.

In healthcare, computer vision algorithms are being used to analyze medical images such as X-rays and MRIs, providing more accurate diagnoses and treatment recommendations. In the automotive industry, computer vision is powering self-driving cars, enabling them to navigate roads and detect obstacles in real-time. In retail, image processing is being used to personalize shopping experiences and improve inventory management. And in security, computer vision systems are enhancing surveillance and facial recognition capabilities.

The reemergence of computer vision and image processing is opening up new possibilities for innovation and disruption in various fields. As these technologies continue to evolve, we can expect to see even more exciting applications and advancements in the near future.
#REEMERGENCE #COMPUTER #VISION #IMAGE #PROCESSING

Perfect Bet: How Science and Math Are Taking the Luck out of Gambling

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Price: $0.00
(as of Dec 28,2024 04:47:46 UTC – Details)


Customers say

Customers find the book an interesting and practical read on gambling. It combines history, math, and insights into computation, probability, and game theory. They describe it as a great, fun read with good historical information about the subject. Overall, customers consider it a worthwhile purchase for its mix of mathematical and historical content.

AI-generated from the text of customer reviews


In the world of gambling, luck has always been considered a key factor in determining the outcome of a game. However, recent developments in science and math are changing the way we approach betting and are taking the element of luck out of the equation.

Advancements in technology have allowed for the development of sophisticated algorithms and predictive models that can analyze vast amounts of data to make more informed decisions when placing bets. These tools are able to factor in a wide range of variables, such as player statistics, team performance, weather conditions, and more, to make more accurate predictions about the outcome of a game.

One example of this is the use of machine learning algorithms in sports betting. By analyzing historical data and identifying patterns and trends, these algorithms can make more accurate predictions about the outcome of a game than a human ever could. This has led to a rise in the use of data-driven strategies in sports betting, with some bettors using these tools to consistently beat the odds and make a profit.

Similarly, in the world of casino gambling, math has long been used to give players an edge over the house. Games like blackjack and poker are inherently mathematical, and players who understand the odds and probabilities involved can use this knowledge to increase their chances of winning. By using strategies like card counting in blackjack or calculating pot odds in poker, players can tilt the odds in their favor and come out ahead in the long run.

Overall, the use of science and math in gambling is revolutionizing the industry and giving players a new way to approach betting. By taking the luck out of the equation and relying on data and statistics instead, bettors can make more informed decisions and increase their chances of success. So, if you’re looking to up your game and make smarter bets, it might be time to start thinking like a scientist and a mathematician.
#Perfect #Bet #Science #Math #Luck #Gambling

TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models

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Price: $24.99 - $17.06
(as of Dec 28,2024 04:28:12 UTC – Details)


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O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

Publisher ‏ : ‎ O’Reilly Media; 1st edition (November 16, 2021)
Language ‏ : ‎ English
Paperback ‏ : ‎ 300 pages
ISBN-10 ‏ : ‎ 1492089184
ISBN-13 ‏ : ‎ 978-1492089186
Item Weight ‏ : ‎ 6.7 ounces
Dimensions ‏ : ‎ 4.25 x 0.54 x 7 inches


Are you looking for a comprehensive guide to building and deploying machine learning models with TensorFlow 2? Look no further than the “TensorFlow 2 Pocket Reference”!

This handy reference book covers everything you need to know about using TensorFlow 2, from the basics of building and training models to deploying them in production. Whether you’re a beginner just getting started with machine learning or an experienced practitioner looking to level up your skills, this book has something for everyone.

With clear explanations, code examples, and best practices, “TensorFlow 2 Pocket Reference” will help you master the ins and outs of TensorFlow 2 in no time. So why wait? Pick up your copy today and start building and deploying powerful machine learning models with ease.
#TensorFlow #Pocket #Reference #Building #Deploying #Machine #Learning #Models

Within the Frame, 10th Anniversary Edition: The Journey of Photographic Vision

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Price: $39.95 - $20.53
(as of Dec 28,2024 03:47:58 UTC – Details)




Publisher ‏ : ‎ Rocky Nook; Anniversary edition (March 1, 2019)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 304 pages
ISBN-10 ‏ : ‎ 1681984563
ISBN-13 ‏ : ‎ 978-1681984568
Item Weight ‏ : ‎ 2.31 pounds
Dimensions ‏ : ‎ 7 x 1 x 9 inches

Customers say

Customers find the book easy to read and interesting. They find the photography topics useful, including how to take meaningful photos, the technical aspects, and how to tell a story using photography. The book is described as a classic that they will enjoy for years to come.

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Within the Frame, 10th Anniversary Edition: The Journey of Photographic Vision

Join me in celebrating the 10th anniversary of David duChemin’s groundbreaking book, Within the Frame. This revised and updated edition takes readers on a journey through the world of photographic vision, exploring the art and craft of creating compelling images.

Through insightful essays, stunning photographs, and practical tips, duChemin shares his wisdom on how to develop a unique photographic vision and capture the beauty of the world around us. Whether you’re a beginner or an experienced photographer, this book will inspire you to see the world in a new light and create images that truly resonate with viewers.

So grab your camera, open your eyes, and embark on a journey of self-discovery and creative exploration with Within the Frame. Happy shooting!
#Frame #10th #Anniversary #Edition #Journey #Photographic #Vision

Information Theory, Inference and Learning Algorithms

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Price: $72.99 - $52.90
(as of Dec 28,2024 03:26:27 UTC – Details)




Publisher ‏ : ‎ Cambridge University Press; Illustrated edition (September 25, 2003)
Language ‏ : ‎ English
Paperback ‏ : ‎ 642 pages
ISBN-10 ‏ : ‎ 0521642981
ISBN-13 ‏ : ‎ 978-0521642989
Item Weight ‏ : ‎ 3.4 pounds
Dimensions ‏ : ‎ 7 x 1.45 x 10 inches

Customers say

Customers find the book well-written and engaging. They appreciate its clear presentation and unique perspective. Readers describe the pacing as good and the book as one of the best in machine learning.

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Information Theory, Inference and Learning Algorithms

In the world of artificial intelligence and machine learning, understanding the principles of information theory, inference, and learning algorithms is crucial for developing successful models and systems. Information theory, first introduced by Claude Shannon in the 1940s, provides a framework for quantifying the amount of information in a signal or data set.

Inference, on the other hand, involves making decisions or predictions based on observed data and prior knowledge. This process is fundamental to machine learning, where algorithms learn from data to make accurate predictions or classifications.

Learning algorithms are the backbone of machine learning systems, as they are responsible for extracting patterns and relationships from data to make predictions or decisions. These algorithms can be supervised, unsupervised, or semi-supervised, depending on the availability of labeled data.

By combining information theory, inference, and learning algorithms, researchers and developers can create powerful machine learning models that can solve complex problems and make accurate predictions. Understanding these concepts is essential for anyone working in the field of artificial intelligence and machine learning.
#Information #Theory #Inference #Learning #Algorithms

Envisioning Holograms: Design Breakthrough Experiences for Mixed Reality

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Price: $79.99 - $26.56
(as of Dec 28,2024 03:04:39 UTC – Details)




Publisher ‏ : ‎ Apress; 1st ed. edition (November 8, 2017)
Language ‏ : ‎ English
Paperback ‏ : ‎ 338 pages
ISBN-10 ‏ : ‎ 1484227484
ISBN-13 ‏ : ‎ 978-1484227480
Item Weight ‏ : ‎ 1.46 pounds
Dimensions ‏ : ‎ 6.1 x 0.78 x 9.25 inches


In today’s rapidly evolving technological landscape, the possibilities for creating immersive and interactive experiences in mixed reality are endless. One of the most exciting developments in this field is the use of holograms to bring digital content into the physical world.

Holograms have the potential to revolutionize the way we interact with information and the world around us. Whether it’s bringing historical figures to life in a museum, visualizing complex data in a boardroom, or enhancing training simulations for medical professionals, holograms offer a new dimension to storytelling and communication.

As designers, it’s crucial for us to envision and create breakthrough experiences that leverage the unique capabilities of holograms. By understanding the principles of holographic display technology and exploring innovative ways to blend digital content with the physical environment, we can create truly immersive and compelling experiences that captivate audiences and drive engagement.

From designing intuitive user interfaces that seamlessly integrate with the surrounding environment to crafting visually stunning holographic animations that evoke emotion and spark imagination, there are endless opportunities to push the boundaries of what’s possible in mixed reality.

So let’s embrace the potential of holograms and challenge ourselves to design experiences that not only amaze and delight, but also make a meaningful impact on how we connect with the world around us. Together, we can shape the future of mixed reality and create experiences that inspire, educate, and entertain in ways we never thought possible.
#Envisioning #Holograms #Design #Breakthrough #Experiences #Mixed #Reality

Object Detection and Classification on Satellite Imagery: Using Computer Vision and A.I.

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Price: $48.00
(as of Dec 28,2024 02:43:02 UTC – Details)




Publisher ‏ : ‎ LAP LAMBERT Academic Publishing (July 20, 2023)
Language ‏ : ‎ English
Paperback ‏ : ‎ 52 pages
ISBN-10 ‏ : ‎ 6206751015
ISBN-13 ‏ : ‎ 978-6206751014
Item Weight ‏ : ‎ 3.39 ounces
Dimensions ‏ : ‎ 5.91 x 0.12 x 8.66 inches


Object Detection and Classification on Satellite Imagery: Using Computer Vision and A.I.

Satellite imagery has become an invaluable tool for a wide range of applications, from urban planning to disaster response. One of the key challenges in analyzing satellite imagery is the detection and classification of objects within the images. This task can be time-consuming and labor-intensive when done manually, which is where computer vision and artificial intelligence (A.I.) come into play.

Computer vision algorithms can be trained to automatically detect and classify objects within satellite imagery, such as buildings, roads, and vegetation. By leveraging A.I. technologies, these algorithms can learn to recognize patterns and features within the images, allowing for more efficient and accurate object detection and classification.

One common approach to object detection and classification on satellite imagery is through the use of convolutional neural networks (CNNs). CNNs are a type of deep learning algorithm that is well-suited for analyzing visual data, making them ideal for tasks like object detection in images. By training a CNN on a large dataset of labeled satellite imagery, the algorithm can learn to identify and classify objects with high accuracy.

In addition to CNNs, other computer vision techniques such as image segmentation and feature extraction can also be used to enhance object detection and classification on satellite imagery. These techniques can help to further refine the detection and classification process, leading to more precise results.

Overall, the combination of computer vision and A.I. technologies holds great potential for improving object detection and classification on satellite imagery. By automating this process, researchers and analysts can save time and resources, while also gaining valuable insights from the vast amount of data that satellite imagery provides.
#Object #Detection #Classification #Satellite #Imagery #Computer #Vision #A.I

Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part II (Communications in Computer and Information Science, 772)

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Price: $54.99
(as of Dec 28,2024 02:21:20 UTC – Details)




Publisher ‏ : ‎ Springer; 1st ed. 2017 edition (November 30, 2017)
Language ‏ : ‎ English
Paperback ‏ : ‎ 644 pages
ISBN-10 ‏ : ‎ 9811073015
ISBN-13 ‏ : ‎ 978-9811073014
Item Weight ‏ : ‎ 1.97 pounds
Dimensions ‏ : ‎ 6.1 x 1.46 x 9.25 inches


Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part II (Communications in Computer and Information Science, 772)

The Second CCF Chinese Conference on Computer Vision (CCCV 2017) took place in Tianjin, China from October 11 to 14, 2017. The conference featured a wide range of topics related to computer vision, including image processing, pattern recognition, machine learning, and artificial intelligence.

The proceedings of CCCV 2017 have been compiled into two parts, with Part II now available in the Communications in Computer and Information Science series (Volume 772). This volume includes papers from leading researchers and practitioners in the field of computer vision, presenting the latest advancements and innovations in the field.

Topics covered in Part II of the proceedings include object recognition, image segmentation, 3D reconstruction, visual tracking, and more. Researchers and professionals in the field of computer vision will find this volume to be a valuable resource for keeping up to date with the latest research and developments in the field.

For more information on the proceedings of CCCV 2017 and to access Part II of the conference proceedings, visit the Communications in Computer and Information Science website.
#Computer #Vision #CCF #Chinese #Conference #CCCV #Tianjin #China #October #Proceedings #Part #Communications #Computer #Information #Science

Computer Vision: CCF Chinese Conference, CCCV 2015, Xi’an, China, September 18-20, 2015, Proceedings, Part II (Communications in Computer and Information Science, 547)

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Price: $54.99
(as of Dec 28,2024 01:59:41 UTC – Details)




Publisher ‏ : ‎ Springer; 1st ed. 2015 edition (September 25, 2015)
Language ‏ : ‎ English
Paperback ‏ : ‎ 492 pages
ISBN-10 ‏ : ‎ 3662485699
ISBN-13 ‏ : ‎ 978-3662485699
Item Weight ‏ : ‎ 1.5 pounds
Dimensions ‏ : ‎ 6.1 x 1.11 x 9.25 inches


Computer Vision: CCF Chinese Conference, CCCV 2015, Xi’an, China, September 18-20, 2015, Proceedings, Part II (Communications in Computer and Information Science, 547)

The CCF Chinese Conference on Computer Vision (CCCV) 2015 took place in Xi’an, China from September 18-20, 2015. The conference brought together researchers, academics, and industry professionals from around the world to discuss the latest advancements in computer vision technology.

The proceedings of the conference have been published in a two-part series, with Part II now available in Communications in Computer and Information Science, volume 547. This volume contains a collection of papers that cover a wide range of topics in computer vision, including image processing, object recognition, machine learning, and more.

Some of the key highlights from Part II of the proceedings include:

– A study on the use of deep learning techniques for image classification and recognition
– An analysis of the latest developments in 3D object detection and tracking
– Research on the application of computer vision in medical imaging and healthcare
– A discussion on the challenges and opportunities in autonomous driving technology

Overall, the papers in this volume showcase the cutting-edge research being conducted in the field of computer vision and demonstrate the potential for future advancements in this exciting and rapidly evolving area of technology.

To access the full proceedings of CCCV 2015, including Part II, please visit the Communications in Computer and Information Science website.
#Computer #Vision #CCF #Chinese #Conference #CCCV #Xian #China #September #Proceedings #Part #Communications #Computer #Information #Science

Mustafa Suleyman’s Vision for Ethical AI: His Groundbreaking Journey to Transform AI, Drive Ethical Innovation, and Inspire the Next Generation of Tech Leaders

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Price: $17.99
(as of Dec 28,2024 01:38:00 UTC – Details)




ASIN ‏ : ‎ B0DQ5RJW1B
Publisher ‏ : ‎ Independently published (December 11, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 87 pages
ISBN-13 ‏ : ‎ 979-8303340466
Item Weight ‏ : ‎ 6.6 ounces
Dimensions ‏ : ‎ 6 x 0.2 x 9 inches


Mustafa Suleyman, the co-founder of DeepMind and a prominent figure in the field of artificial intelligence, has long been an advocate for the ethical development and deployment of AI technologies. His passion for using AI to drive positive social change has led him on a groundbreaking journey to transform the way we think about and use AI.

Suleyman’s vision for ethical AI is centered around the idea that technology should be used to benefit humanity, rather than harm it. He believes that AI has the potential to address some of the world’s most pressing challenges, from healthcare and education to climate change and inequality. However, he also recognizes the risks and ethical dilemmas that come with the rapid advancement of AI technologies.

Throughout his career, Suleyman has worked tirelessly to ensure that AI is developed in a responsible and ethical manner. He has been a vocal advocate for transparency, accountability, and fairness in AI systems, and has helped shape the debate around AI ethics on a global scale.

Suleyman’s efforts have not gone unnoticed. He has been recognized as a leader in the field of AI ethics, and has received numerous awards and accolades for his work. His groundbreaking approach to AI has inspired a new generation of tech leaders to prioritize ethics and social impact in their work.

As we look to the future of AI, Mustafa Suleyman’s vision for ethical innovation serves as a guiding light. His commitment to using technology for the greater good, his dedication to driving positive social change, and his passion for inspiring the next generation of tech leaders make him a true pioneer in the field of AI.
#Mustafa #Suleymans #Vision #Ethical #Groundbreaking #Journey #Transform #Drive #Ethical #Innovation #Inspire #Generation #Tech #Leaders