Poggio, Tomaso
Tomaso Poggio fisico italiano
Poggio, Tomaso 1947-
Poggio, Tomaso, 19..-....
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Tomaso Poggio physicien italien
VIAF ID: 13031602 (Personal)
Permalink: http://viaf.org/viaf/13031602
Preferred Forms
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200 _ 1
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Poggio
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, Tomaso
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Poggio
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Tomaso
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100 1 _ ‡a Poggio, Tomaso (sparse)
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100 1 _ ‡a Poggio, Tomaso
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Poggio, Tomaso
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100 1 _ ‡a Poggio, Tomaso (sparse)
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100 1 _ ‡a Poggio, Tomaso
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100 1 _ ‡a Poggio, Tomaso
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100 1 _ ‡a Poggio, Tomaso
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100 1 _ ‡a Poggio, Tomaso
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100 1 _ ‡a Poggio, Tomaso
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100 1 _
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Poggio, Tomaso
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100 1 _ ‡a Poggio, Tomaso ‡d (1947- )
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100 1 _ ‡a Poggio, Tomaso ‡d (1947- ).
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100 1 _
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Poggio, Tomaso
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1947-
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Poggio, Tomaso,
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19..-....
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100 0 _
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Tomaso Poggio
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fisico italiano
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100 0 _
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Tomaso Poggio
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physicien italien
4xx's: Alternate Name Forms (30)
5xx's: Related Names (1)
Works
| Title | Sources |
|---|---|
| Biologically motivated computer vision : First IEEE International Workshop BMCV 2000, Seoul, Korea, May 2000 : proceedings |
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| The biophysical properties of spines as a basis for their electrical function: a comment on Kawato & Tsukahara (1983) |
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| Cervello: manuale dell'utente : guida semplificata alla macchina più complessa del mondo |
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| Computational neuroscience |
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| Dynamic faces : insights from experiments and computation |
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| Early visual learning |
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| Exploring brain functions : models in neuroscience : report of the Dahlem Workshop on Exploring Brain Functions: Models in Neuroscience, Berlin, 1991 September 29-October 4 |
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| A fast, invariant representation for human action in the visual system |
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| Fast perceptual learning in hyperacuity. |
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| Feature Selection for SVMs |
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| A feedforward architecture accounts for rapid categorization |
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| Figure-ground discrimination by relative movement in the visual system of the fly. Part II: Towards the neural circuitry 1 |
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| Fingerprints theorems for zero-crossings, c1983 |
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| Generalization in vision and motor control |
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| Holographic Embeddings of Knowledge Graphs |
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| Identification and analysis of alternative splicing events conserved in human and mouse |
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| The importance of symmetry and virtual views in three-dimensional object recognition |
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| Intracellular measurements of spatial integration and the MAX operation in complex cells of the cat primary visual cortex |
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| The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex |
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| Just One View: Invariances in Inferotemporal Cell Tuning |
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| Learning a Color Algorithm from Examples |
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| Learning in brains and machines |
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| Learning Manifolds with K-Means and K-Flats |
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| Learning with a Wasserstein Loss |
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| The Levels of Understanding framework, revised |
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| L'occhio e il cervello / Tomaso Poggio |
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| Marr's approach to vision |
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| Mózg : podręcznik użytkownika |
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| The Müller-Lyer figure and the fly |
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| A Network for Image Segmentation Using Color |
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| Neural mechanisms for the recognition of biological movements |
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| Neural representation of action sequences: how far can a simple snippet-matching model take us? |
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| Neural Tuning Size in a Model of Primate Visual Processing Accounts for Three Key Markers of Holistic Face Processing |
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| Nonlinear interactions in a dendritic tree: localization, timing, and role in information processing |
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| On holographic models of memory |
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| On Invariance in Hierarchical Models |
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| On optimal nonlinear associative recall |
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| On the respresentation of multi-input systems: computational properties of polynomial algorithms. |
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| Parallel integration of vision modules. |
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| Predicting the visual world: silence is golden |
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| Real-time delayed tracking in flies |
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| Regularization algorithms for learning that are equivalent to multilayer networks. |
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| Regularization Theory and Neural Networks Architectures |
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| Retinal ganglion cells: a functional interpretation of dendritic morphology. |
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| Robust object recognition with cortex-like mechanisms |
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| Role of learning in three-dimensional form perception |
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| Scale and translation-invariance for novel objects in human vision |
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| Shape representation in the inferior temporal cortex of monkeys |
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| A simple algorithm for solving the cable equation in dendritic trees of arbitrary geometry. |
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| Smallest channel in early human vision |
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| Symmetric 3D objects are an easy case for 2D object recognition. |
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| Synapses that compute motion |
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| Theoretical approaches in neurobiology, c1980 (a.e.) |
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| Theoretical issues in deep networks |
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| A theory of how the brain might work. |
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| A theory of the pattern induced flight orientation of the fly Musca domestica II |
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| Top-down learning of low-level vision tasks. |
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| Tracking and chasing in houseflies (Musca) |
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| Trade-off between object selectivity and tolerance in monkey inferotemporal cortex. |
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| Vertical image registration in stereopsis |
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| View-based models of 3D object recognition: invariance to imaging transformations. |
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| View-dependent object recognition by monkeys. |
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| View-Tolerant Face Recognition and Hebbian Learning Imply Mirror-Symmetric Neural Tuning to Head Orientation |
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| Vision : a computational investigation into the human representation and processing of visual information |
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| Vision: are models of object recognition catching up with the brain? |
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| Vision by man and machine. |
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| Visual categorization and the primate prefrontal cortex: neurophysiology and behavior |
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| Visual control of orientation behaviour in the fly. Part II. Towards the underlying neural interactions |
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| Visual cortex and deep networks, 2016: |
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| Visual hyperacuity: spatiotemporal interpolation in human vision |
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| What and where: a Bayesian inference theory of attention |
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| Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review |
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| Why The Brain Separates Face Recognition From Object Recognition |
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| Wiener-like system identification in physiology |
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