Search Results for author: Elias Tsigaridas

Found 6 papers, 3 papers with code

Randomized Control in Performance Analysis and Empirical Asset Pricing

no code implementations14 Feb 2024 Cyril Bachelard, Apostolos Chalkis, Vissarion Fisikopoulos, Elias Tsigaridas

The present article explores the application of randomized control techniques in empirical asset pricing and performance evaluation.

GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision

no code implementations CVPR 2022 Chiang-Heng Chien, Hongyi Fan, Ahmad Abdelfattah, Elias Tsigaridas, Stanimire Tomov, Benjamin Kimia

Homotopy Continuation (HC) can solve more complex problems without the stability issues, and with guarantees of a global solution, but they are known to be slow.

Pose Estimation

Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo

1 code implementation25 Feb 2021 Apostolos Chalkis, Vissarion Fisikopoulos, Marios Papachristou, Elias Tsigaridas

We introduce Reflective Hamiltonian Monte Carlo (ReHMC), an HMC-based algorithm, to sample from a log-concave distribution restricted to a convex body.

Computing the non-properness set of real polynomial maps in the plane

no code implementations13 Jan 2021 Boulos El Hilany, Elias Tsigaridas

We introduce novel mathematical and computational tools to develop a complete algorithm for computing the set of non-properness of polynomials maps in the plane.

Algebraic Geometry 12D10, 14P10, 14R25, 26C05, 52B20

Geometric algorithms for sampling the flux space of metabolic networks

1 code implementation10 Dec 2020 Apostolos Chalkis, Vissarion Fisikopoulos, Elias Tsigaridas, Haris Zafeiropoulos

Systems Biology is a fundamental field and paradigm that introduces a new era in Biology.

Trifocal Relative Pose from Lines at Points and its Efficient Solution

1 code implementation23 Mar 2019 Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret Regan, David da Costa de Pinho, Elias Tsigaridas, Charles Wampler, Jonathan Hauenstein, Benjamin Kimia, Anton Leykin, Tomas Pajdla

We present a method for solving two minimal problems for relative camera pose estimation from three views, which are based on three view correspondences of i) three points and one line and the novel case of ii) three points and two lines through two of the points.

Pose Estimation

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