Tomaso A Poggio

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Tomaso A



Publications in SciGraph latest 50 shown

  • 2022-01-01 Neural-Guided, Bidirectional Program Search for Abstraction and Reasoning in COMPLEX NETWORKS & THEIR APPLICATIONS X
  • 2021-10-13 Visual Cortex Models for Object Recognition in COMPUTER VISION
  • 2021-10-13 Machine Recognition of Objects in COMPUTER VISION
  • 2020-02-24 Complexity control by gradient descent in deep networks in NATURE COMMUNICATIONS
  • 2020-01-29 Scale and translation-invariance for novel objects in human vision in SCIENTIFIC REPORTS
  • 2017-03-14 Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review in MACHINE INTELLIGENCE RESEARCH
  • 2016-10-04 Invariant Recognition Predicts Tuning of Neurons in Sensory Cortex in COMPUTATIONAL AND COGNITIVE NEUROSCIENCE OF VISION
  • 2014 Visual Cortex Models for Object Recognition in COMPUTER VISION
  • 2014 Machine Recognition of Objects in COMPUTER VISION
  • 2013-10-09 On Learnability, Complexity and Stability in EMPIRICAL INFERENCE
  • 2013-04-03 Donald Arthur Glaser (1926–2013) in NATURE
  • 2013 Throwing Down the Visual Intelligence Gauntlet in MACHINE LEARNING FOR COMPUTER VISION
  • 2012-01-31 Erratum: Corrigendum: Automated home-cage behavioural phenotyping of mice in NATURE COMMUNICATIONS
  • 2010-09-07 Automated home-cage behavioural phenotyping of mice in NATURE COMMUNICATIONS
  • 2010 Hierarchical Learning Machines and Neuroscience of Visual Cortex in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2009-06-30 Mathematics of the Neural Response in FOUNDATIONS OF COMPUTATIONAL MATHEMATICS
  • 2007-01-01 Biophysical Models of Neural Computation: Max and Tuning Circuits in WEB INTELLIGENCE MEETS BRAIN INFORMATICS
  • 2007-01-01 Neuroscience: New Insights for AI? in WEB INTELLIGENCE MEETS BRAIN INFORMATICS
  • 2006-12-19 A Component-based Framework for Face Detection and Identification in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2006-07 Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization in ADVANCES IN COMPUTATIONAL MATHEMATICS
  • 2005-09-27 The Mathematics of Learning: Dealing with Data * in FOUNDATIONS AND ADVANCES IN DATA MINING
  • 2005 Learning Features of Intermediate Complexity for the Recognition of Biological Motion in ARTIFICIAL NEURAL NETWORKS: BIOLOGICAL INSPIRATIONS – ICANN 2005
  • 2004-10-13 Generalization in vision and motor control in NATURE
  • 2004-03 General conditions for predictivity in learning theory in NATURE
  • 2003-03-01 Neural mechanisms for the recognition of biological movements in NATURE REVIEWS NEUROSCIENCE
  • 2003 Regression and Classification with Regularization in NONLINEAR ESTIMATION AND CLASSIFICATION
  • 2002-11-21 Attentional Selection for Object Recognition — A Gentle Way in BIOLOGICALLY MOTIVATED COMPUTER VISION
  • 2002-11-21 On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision in BIOLOGICALLY MOTIVATED COMPUTER VISION
  • 2002-11-21 Recognizing Expressions by Direct Estimation of the Parameters of a Pixel Morphable Model in BIOLOGICALLY MOTIVATED COMPUTER VISION
  • 2002-11-21 Visual Categorization: How the Monkey Brain Does It in BIOLOGICALLY MOTIVATED COMPUTER VISION
  • 2002-01 Prediction of central nervous system embryonal tumour outcome based on gene expression in NATURE
  • 2000-11 Models of object recognition in NATURE NEUROSCIENCE
  • 2000-06 Visual Speech Synthesis by Morphing Visemes in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2000-06 Statistical Learning Theory: A Primer in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2000-06 Introduction: Learning and Vision at CBCL in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2000-06 A Trainable System for Object Detection in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2000-06 Morphable Models for the Analysis and Synthesis of Complex Motion Patterns in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2000 CBF: A New Framework for Object Categorization in Cortex in BIOLOGICALLY MOTIVATED COMPUTER VISION
  • 2000 Regularization Networks and Support Vector Machines in ADVANCES IN COMPUTATIONAL MATHEMATICS
  • 1999-11-01 Hierarchical models of object recognition in cortex in NATURE NEUROSCIENCE
  • 1999-01 Predicting the visual world: silence is golden in NATURE NEUROSCIENCE
  • 1998-08 Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 1997 Image representations for visual learning in AUDIO- AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION
  • 1996-12 I think I know that face... in NATURE
  • 1996-12 Role of learning in three-dimensional form perception in NATURE
  • 1996 Finding human faces with a Gaussian mixture distribution-based face model in RECENT DEVELOPMENTS IN COMPUTER VISION
  • 1996 Image synthesis from a single example image in COMPUTER VISION — ECCV '96
  • 1996 Maschinen (und Künstliche Intelligenz) sehend machen in PROBLEME DER KÜNSTLICHEN INTELLIGENZ
  • 1995-09 Automatic person recognition by acoustic and geometric features in MACHINE VISION AND APPLICATIONS
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