Search Results for author: Christopher J. Tralie

Found 7 papers, 2 papers with code

Artistic Curve Steganography Carried by Musical Audio

1 code implementation29 Jan 2023 Christopher J. Tralie

In this work, we create artistic closed loop curves that trace out images and 3D shapes, which we then hide in musical audio as a form of steganography.

Multi-scale Geometric Summaries for Similarity-based Sensor Fusion

no code implementations13 Oct 2018 Christopher J. Tralie, Paul Bendich, John Harer

A fused similarity template is then derived from the modality-specific SSMs using a technique called similarity network fusion (SNF).

Sensor Fusion

Twisty Takens: A Geometric Characterization of Good Observations on Dense Trajectories

no code implementations19 Sep 2018 Boyan Xu, Christopher J. Tralie, Alice Antia, Michael Lin, Jose A. Perea

In nonlinear time series analysis and dynamical systems theory, Takens' embedding theorem states that the sliding window embedding of a generic observation along trajectories in a state space, recovers the region traversed by the dynamics.

Dynamical Systems Computational Geometry Algebraic Topology 37M10, 37M05, 37N99 I.3.5; G.1.m

Geometric Cross-Modal Comparison of Heterogeneous Sensor Data

no code implementations23 Nov 2017 Christopher J. Tralie, Abraham Smith, Nathan Borggren, Jay Hineman, Paul Bendich, Peter Zulch, John Harer

The information represented by the two modalities is compared using self-similarity matrices (SSMs) corresponding to time-ordered point clouds in feature spaces of each of these data sources; we note that these feature spaces can be of entirely different scale and dimensionality.

Self-Similarity Based Time Warping

no code implementations20 Nov 2017 Christopher J. Tralie

In this work, we explore the problem of aligning two time-ordered point clouds which are spatially transformed and re-parameterized versions of each other.

Dynamic Time Warping Time Series +1

(Quasi)Periodicity Quantification in Video Data, Using Topology

1 code implementation26 Apr 2017 Christopher J. Tralie, Jose A. Perea

This work introduces a novel framework for quantifying the presence and strength of recurrent dynamics in video data.

Object Tracking Time Series +1

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