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Osorio, Fernando
USP University - ICMC - Sco Carlos
Sao Carlos, SP, Brazil
 
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   Neurosymbolic AI
Monroe D. Communications of the ACM 65(10): 11-13, 2022.  Type: Article

Can deep learning and machine learning systems based on neural nets do anything? Deep learning systems are capable of writing, translating, and analyzing texts; driving autonomous vehicles; and even writing sophisticated computer programs. Do we n...

Aug 14 2023  
   Machine understanding: machine perception and machine perception MU
Les Z., Les M., Springer International Publishing, New York, NY, 2020. 215 pp.  Type: Book (978-3-030240-69-1)

This is a difficult book to define/describe. Some parts are very interesting, presenting good research questions and discussions; other parts lack detail and depth--readers are sometimes just sent to the authors’ pre...

Oct 12 2020  
  The ascent of GIM, the global intelligent machine: a history of production and information machines
Koetsier T., Springer International Publishing, New York, NY, 2018. 364 pp.  Type: Book (978-3-319965-46-8)

Part of Springer’s “History of Mechanism and Machine Science” series, this would have been a better title for the book. The author starts with a kind of “fuzzy” introduction to the &...

Jul 1 2019  
  Text and non-text separation in offline document images: a survey
Bhowmik S., Sarkar R., Nasipuri M., Doermann D. International Journal on Document Analysis and Recognition 21(1-2): 1-20, 2018.  Type: Article

This survey on text and no-text separation in images presents a quite complete review (list of references) of image document analysis, including printed and handwritten texts. The authors present tables comparing the performance of the...

Sep 7 2018  
   Autonomous vehicle navigation: from behavioral to hybrid multi-controller architectures
Adouane L., A. K. Peters, Ltd., Natick, MA, 2016. 260 pp.  Type: Book (978-1-498715-58-4), Reviews: (2 of 2)

If you are interested in learning about the research and development (R&D) of autonomous vehicles, you really should read this book. It is an absolute must-read for people working in this domain; it is up to date (in an area that e...

Feb 1 2017  
  A comprehensive performance evaluation of 3D local feature descriptors
Guo Y., Bennamoun M., Sohel F., Lu M., Wan J., Kwok N. International Journal of Computer Vision 116(1): 66-89, 2016.  Type: Article

For those that are working with 3D point clouds (for example, 3D keypoint detection, 3D local feature descriptors, 3D object recognition/classification/retrieval, 3D scene modeling and reconstruction, and 3D data registration, among ma...

Apr 27 2016  
  Free-hand sketch recognition by multi-kernel feature learning
Li Y., Hospedales T., Song Y., Gong S. Computer Vision and Image Understanding 137(C): 1-11, 2015.  Type: Article

Touchscreen devices, or even electronic stylus writing instruments (for example, Apple Pencils), are becoming increasingly common nowadays. Drawing sketches is something humans have done to communicate since ancient times. Sketches can...

Oct 8 2015  
   Background modeling and foreground detection for video surveillance
Bouwmans T., Porikli F., Höferlin B., Vacavant A., Chapman & Hall/CRC, Boca Raton, FL, 2014. 631 pp.  Type: Book (978-1-482205-37-4)

Providing a complete and extensive presentation of up-to-date video surveillance image processing techniques used for background modeling/removal and foreground object detection/tracking, this is an absolute “must-read book&a...

Jun 9 2015  
  Robust visual tracking via augmented kernel SVM
Bai Y., Tang M. Image and Vision Computing 32(8): 465-475, 2014.  Type: Article

Object tracking in videos (image sequences) is an important computer vision task with many different applications, including intelligent robots and vehicles, augmented reality, entertainment, scientific and industrial applications, and...

Mar 3 2015  
   Hybrid classifiers: methods of data, knowledge, and classifier combination
Wozniak M., Springer Publishing Company, Incorporated, New York, NY, 2013. 232 pp.  Type: Book (978-3-642409-96-7)

This book is directed to machine learning (ML) students, researchers, and practitioners searching for a better understanding of different concepts and techniques adopted in data and knowledge manipulation and classification. It is espe...

Jul 25 2014  
 
 
 
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