Invariances
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Invariances
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Author : Robert Nozick
language : en
Publisher: Harvard University Press
Release Date : 2001
Invariances written by Robert Nozick and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Philosophy categories.
Casting cultural controversies in a whole new light, an eminent philosopher presents bold, new theories that take into account scientific advances in physics, evolutionary biology, economics, and cognitive neurosience.
Invariances In Human Information Processing
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Author : Thomas Lachmann
language : en
Publisher: Routledge
Release Date : 2018-02-28
Invariances In Human Information Processing written by Thomas Lachmann and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-28 with Psychology categories.
Invariances in Human Information Processing examines and identifies processing universals and how they are implemented in elementary judgemental processes. This edited collection offers evidence that these universals can be extracted and identified from observing law-like principles in perception, cognition, and action. Addressing memory operations, development, and conceptual learning, this book considers basic and complex meso- and makro-stages of information processing. Chapter authors provide theoretical accounts of cognitive processing that may offer tools for identification of functional components in brain activity in cognitive neuroscience
Invariances In Human Information Processing
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Author : Thomas Lachmann
language : en
Publisher: Routledge
Release Date : 2018-02-28
Invariances In Human Information Processing written by Thomas Lachmann and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-28 with Psychology categories.
Invariances in Human Information Processing examines and identifies processing universals and how they are implemented in elementary judgemental processes. This edited collection offers evidence that these universals can be extracted and identified from observing law-like principles in perception, cognition, and action. Addressing memory operations, development, and conceptual learning, this book considers basic and complex meso- and makro-stages of information processing. Chapter authors provide theoretical accounts of cognitive processing that may offer tools for identification of functional components in brain activity in cognitive neuroscience
Category Theory
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Author : Zoran Majkic
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2023-03-06
Category Theory written by Zoran Majkic and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-06 with Computers categories.
This book analyzes the generation of the arrow-categories of a given category, which is a foundational and distinguishable Category Theory phenomena, in analogy to the foundational role of sets in the traditional set-based Mathematics, for defi nition of natural numbers as well. This inductive transformation of a category into the infinite hierarchy of the arrowcategories is extended to the functors and natural transformations. The author considers invariant categorial properties (the symmetries) under such inductive transformations. The book focuses in particular on Global symmetry (invariance of adjunctions) and Internal symmetries between arrows and objects in a category (in analogy to Field Theories like Quantum Mechanics and General Relativity). The second part of the book is dedicated to more advanced applications of Internal symmetry to Computer Science: for Intuitionistic Logic, Untyped Lambda Calculus with Fixpoint Operators, Labeled Transition Systems in Process Algebras and Modal logics as well as Data Integration Theory.
R Invariances Of Strong And Weak Interactions
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Author : Susumu Okubo
language : en
Publisher:
Release Date : 1962
R Invariances Of Strong And Weak Interactions written by Susumu Okubo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1962 with Symmetry (Physics) categories.
Learning Of Invariances From Natural Videos
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Author : Konrad Körding (Physiologiste)
language : en
Publisher:
Release Date : 2001*
Learning Of Invariances From Natural Videos written by Konrad Körding (Physiologiste) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001* with categories.
Understanding Learned Visual Invariances Through Hierarchical Dataset Design And Collection
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Author : Brandon Leung
language : en
Publisher:
Release Date : 2022
Understanding Learned Visual Invariances Through Hierarchical Dataset Design And Collection written by Brandon Leung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
While CNNs have enabled tremendous progress in computer vision for a variety of tasks, robust generalization across domain, viewpoint, and class remains a significant challenge. This thesis therefore centers around a new hierarchical multiview, multidomain image dataset with 3D meshes called 3D-ODDS. Data was collected in several ways, involving turntable setups, flying drones, and in-the-wild photos under diverse indoor/outdoor locations. Experiments were subsequently conducted on two important vision tasks: single view 3D reconstruction and image classification. For single view 3D reconstruction, a novel postprocessing step involving test-time self-supervised learning is proposed to help improve reconstructed shape robustness. For image classification, we consider an adversarial attack framework using perturbations which are semantically imperceptible based on human subject surveys. For both tasks, experiments show that 3D-ODDS is a challenging dataset for state of the art methods and is useful in measuring class, pose, and domain invariance. We believe that the dataset will remain relevant moving forward, inspiring future works towards robust and invariant methods in computer vision.
Superconformal Invariances In Two Dimensions Representation Theory And Applications To Strings And Critical Phenomena
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Author : Soonkeon Nam
language : en
Publisher:
Release Date : 1987
Superconformal Invariances In Two Dimensions Representation Theory And Applications To Strings And Critical Phenomena written by Soonkeon Nam and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with categories.
Invariants Of Behavior
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Author : Mario Negrello
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-02
Invariants Of Behavior written by Mario Negrello and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-02 with Medical categories.
The study of the brain and behavior is illuminated with the discovery of invariances. Experimental brain research uncovers constancies amidst variation, with respect to interventions and transformations prescribed by experimental paradigms. Place cells, mirror neurons, event related potentials and areas differentially active in fMRI, all illustrate the pervasive role of invariances in neural systems in relation to their function.
Learning Spatio Temporal Invariances
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Author : James V. Stone
language : en
Publisher:
Release Date : 1994
Learning Spatio Temporal Invariances written by James V. Stone and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Neural networks (Computer science) categories.
Abstract: "We present a neural network model for the unsupervised learning of high order visual invariances. The model is demonstrated on the problem of estimating sub-pixel stereo disparity from a temporal sequence of unprocessed image pairs. After learning on a given image sequence, the model's ability to detect sub-pixel disparity generalises, without additional learning, to image pairs from other sequences."