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Deep Learning to See

Towards New Foundations of Computer Vision

de Alessandro Betti, Marco Gori, Stefano Melacci ...

Series series Computer Science (R0)
The remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paired with the explosive growth of the GPU paradigm. While subscribing to this view, this work criticizes the supposed scientific progress in the field, and proposes the investigation of vision within the framework of ... Leer más

$1,088 MXN

The remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paired with the explosive growth of the GPU paradigm. While subscribing to this view, this work criticizes the supposed scientific progress in the field, and proposes the investigation of vision within the framework of
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How to Create a Mind

The Secret of Human Thought Revealed

de Ray Kurzweil ...

'Ray Kurzweil is the best person I know at predicting the future of artificial intelligence.' Bill GatesIn How to Create a Mind, Ray Kurzweil offers a provocative exploration of the most important project in human-machine civilisation: reverse engineering the brain to understand precisely how it works and using that knowledge to create even more intelligent machines. Kurzweil explores how the ... Leer más

$117 MXN

'Ray Kurzweil is the best person I know at predicting the future of artificial intelligence.' Bill GatesIn How to Create a Mind, Ray Kurzweil offers a provocative exploration of the most important project in human-machine civilisation: reverse engineering the brain to understand precisely how it works and using that knowledge to create even more intelligent machines. Kurzweil explores how the
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MATLAB for Neuroscientists

An Introduction to Scientific Computing in MATLAB

de Pascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam Seth Dickey, Nicholas G. Hatsopoulos ...

MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB is the first comprehensive teaching resource and textbook for the teaching of MATLAB in the Neurosciences and in Psychology. MATLAB is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. ... Leer más

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MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB is the first comprehensive teaching resource and textbook for the teaching of MATLAB in the Neurosciences and in Psychology. MATLAB is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling.
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Vision

A Computational Investigation into the Human Representation and Processing of Visual Information

de David Marr ...

Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions.David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and ... Leer más

$622 MXN

Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions.David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and
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Machine Learning

A Constraint-Based Approach

de Marco Gori ...

Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic ... Leer más

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Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic
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Memory and the Computational Brain

Why Cognitive Science will Transform Neuroscience

de C. R. Gallistel, Adam Philip King ...

Series Libro 6 - Blackwell/Maryland Lectures in Language and Cognition
Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field can and should benefit from the recent advances of cognitive science and the development of information theory over the course of the last several decades.A provocative argument that impacts across the fields of linguistics, cognitive science, and neuroscience, ... Leer más

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Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field can and should benefit from the recent advances of cognitive science and the development of information theory over the course of the last several decades.A provocative argument that impacts across the fields of linguistics, cognitive science, and neuroscience,
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Deep Learning For Physics Research

de Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt ...

A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter ... Leer más

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A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter
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Chaos and Complexity in Psychology

The Theory of Nonlinear Dynamical Systems

Edición de Stephen J. Guastello, Matthijs Koopmans, David Pincus ...

While many books have discussed methodological advances in nonlinear dynamical systems theory (NDS), this volume is unique in its focus on NDS's role in the development of psychological theory. After an introductory chapter covering the fundamentals of chaos, complexity and other nonlinear dynamics, subsequent chapters provide in-depth coverage of each of the specific topic areas in psychology. A ... Leer más

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While many books have discussed methodological advances in nonlinear dynamical systems theory (NDS), this volume is unique in its focus on NDS's role in the development of psychological theory. After an introductory chapter covering the fundamentals of chaos, complexity and other nonlinear dynamics, subsequent chapters provide in-depth coverage of each of the specific topic areas in psychology. A
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Problem Solving

Cognitive Mechanisms and Formal Models

de Zygmunt Pizlo ...

Intelligent mental representations of physical, cognitive and social environments allow humans to navigate enormous search spaces, whose sizes vastly exceed the number of neurons in the human brain. This allows us to solve a wide range of problems, such as the Traveling Salesperson Problem, insight problems, as well as mathematics and physics problems. As an area of research, problem solving has ... Leer más

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Intelligent mental representations of physical, cognitive and social environments allow humans to navigate enormous search spaces, whose sizes vastly exceed the number of neurons in the human brain. This allows us to solve a wide range of problems, such as the Traveling Salesperson Problem, insight problems, as well as mathematics and physics problems. As an area of research, problem solving has
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Mathematics Of Autonomy: Mathematical Methods For Cyber-physical-cognitive Systems

de Vladimir G Ivancevic, Darryn J Reid, Michael J Pilling ...

Mathematics of Autonomy provides solid mathematical foundations for building useful Autonomous Systems. It clarifies what makes a system autonomous rather than simply automated, and reveals the inherent limitations of systems currently incorrectly labeled as autonomous in reference to the specific and strong uncertainty that characterizes the environments they operate in. Such complex real-world ... Leer más

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Mathematics of Autonomy provides solid mathematical foundations for building useful Autonomous Systems. It clarifies what makes a system autonomous rather than simply automated, and reveals the inherent limitations of systems currently incorrectly labeled as autonomous in reference to the specific and strong uncertainty that characterizes the environments they operate in. Such complex real-world
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Nonlinear Dynamics

Techniques and Applications in Psychology

de Richard A. Heath ...

Additional Resource MaterialsHuman behavior would not be interesting to us if it remained the same from one moment to the next. Moreover, we tend to be sensitive to changes in people's behavior, especially when such change impacts on our own, and other's, behavior. This book describes a variety of techniques for investigating change in behavior. It employs conventional time series methods, as well ... Leer más

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Additional Resource MaterialsHuman behavior would not be interesting to us if it remained the same from one moment to the next. Moreover, we tend to be sensitive to changes in people's behavior, especially when such change impacts on our own, and other's, behavior. This book describes a variety of techniques for investigating change in behavior. It employs conventional time series methods, as well
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Parallel Models of Associative Memory

Updated Edition

Edición de Geoffrey E. Hinton, James A. Anderson ...

This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain ... Leer más

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This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain
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How to Create a Mind

MATLAB for Neuroscientists

Vision

Machine Learning

Memory and the Computational Brain

Deep Learning For Physics Research

Chaos and Complexity in Psychology

Problem Solving

Mathematics Of Autonomy: Mathematical Methods For Cyber-physical-cognitive Systems

Nonlinear Dynamics

Parallel Models of Associative Memory