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Record W7133002938

Gabor Frames and Contact Geometry: From Models of the Primary Visual Cortex to Higher Dimensional Signal Analysis on Manifolds

2023· dissertation· W7133002938 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldMathematics
TopicMathematical Analysis and Transform Methods
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVisual cortexReceptive fieldOrientation (vector space)Orientation columnGeneralizationSIGNAL (programming language)Manifold (fluid mechanics)Tangent bundleBundle
DOInot available

Abstract

fetched live from OpenAlex

This thesis has two objectives: first, to provide a model of the functional architecture of the primary visual cortex $(V_1)$ in terms of both geometry and signal analysis and second to provide a mathematical framework for signal analysis on certain classes of contact manifolds. It is organized in three main parts. \par Firstly, we introduce a model of the primary visual cortex $(V_1)$, which allows the compression and decomposition of a signal by a discrete family of orientation and position dependent receptive profiles. We show in particular that a specific framed sampling set and an associated Gabor system is determined by the Legendrian circle bundle structure of the $3$-manifold of contact elements on a surface (which models the $V_1-$cortex), together with the presence of an almost complex structure on the tangent bundle of the surface (which models the retinal surface). We identify a maximal area of the signal planes, determined by the retinal surface, that provides a finite number of receptive profiles, sufficient for good encoding and decoding. We consider the extension of this model for receptive fields dependent on position, orientation, frequency and phase. \par Moreover, we provide a construction of Gabor Frames that encode local linearizations of a signal detected on a curved smooth manifold of arbitrary dimension. In particular we use Gabor Filters that can detect higher-dimensional boundaries on the manifolds. We describe an application in configuration spaces in robotics with sharp constrains.The construction is a generalization of the geometric framework, developed for the study of the visual cortex. \par Finally, we present a general construction of Gabor analysis on manifolds with coorientable contact distribution, equipped with a Legendrian fibre bundle structure and an almost CR-Structure. This construction is suitable for studying the stability of Gabor frames under contact transformations of the manifold. We prove that Gabor frames with a specific class of window functions are stable under a certain class of contact transformations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.367
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it