Search Results for author: Mitesh Patel

Found 8 papers, 2 papers with code

Fusing Convolutional Neural Network and Geometric Constraint for Image-based Indoor Localization

no code implementations5 Jan 2022 Jingwei Song, Mitesh Patel, Maani Ghaffari

This paper proposes a new image-based localization framework that explicitly localizes the camera/robot by fusing Convolutional Neural Network (CNN) and sequential images' geometric constraints.

Image-Based Localization Indoor Localization +1

Face-to-Music Translation Using a Distance-Preserving Generative Adversarial Network with an Auxiliary Discriminator

no code implementations24 Jun 2020 Chelhwon Kim, Andrew Port, Mitesh Patel

Further, we discover that the distance preservation constraint in the generative adversarial model leads to reduced diversity in the translated audio samples, and propose the use of an auxiliary discriminator to enhance the diversity of the translations while using the distance preservation constraint.

Generative Adversarial Network Translation

Deep Sensory Substitution: Noninvasively Enabling Biological Neural Networks to Receive Input from Artificial Neural Networks

no code implementations27 May 2020 Andrew Port, Chelhwon Kim, Mitesh Patel

A generative adversarial network (GAN) is then used to find a distance preserving map from this metric space of feature vectors into the metric space defined by a target audio dataset equipped with either the Euclidean metric or a mel-frequency cepstrum-based psychoacoustic distance metric.

Generative Adversarial Network

Combining Deep Learning with Geometric Features for Image based Localization in the Gastrointestinal Tract

no code implementations11 May 2020 Jingwei Song, Mitesh Patel, Andreas Girgensohn, Chelhwon Kim

Considering these, we propose a novel approach to combine DL method with traditional feature based approach to achieve better localization with small training data.

Image-Based Localization

A Closed-Form Uncertainty Propagation in Non-Rigid Structure from Motion

1 code implementation10 May 2020 Jingwei Song, Mitesh Patel, Ashkan Jasour, Maani Ghaffari

In this paper, we present a statistical inference on the element-wise uncertainty quantification of the estimated deforming 3D shape points in the case of the exact low-rank SDP problem.

Uncertainty Quantification

Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation

1 code implementation23 Apr 2020 Jingwei Song, Shaobo Xia, Jun Wang, Mitesh Patel, Dong Chen

Sliding-window based low-rank matrix approximation (LRMA) is a technique widely used in hyperspectral images (HSIs) denoising or completion.

Hyperspectral Image Denoising Image Denoising +1

QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning

no code implementations13 Oct 2019 Nof Abuzainab, Tugba Erpek, Kemal Davaslioglu, Yalin E. Sagduyu, Yi Shi, Sharon J. Mackey, Mitesh Patel, Frank Panettieri, Muhammad A. Qureshi, Volkan Isler, Aylin Yener

The problem of quality of service (QoS) and jamming-aware communications is considered in an adversarial wireless network subject to external eavesdropping and jamming attacks.

reinforcement-learning Reinforcement Learning (RL)

Method for an unbinned measurement of the $q^2$ dependent decay amplitudes of $\bar{B}^{0}\to \bar{K}^{*0}μ^+μ^-$ decays

no code implementations2 Apr 2015 Ulrik Egede, Mitesh Patel, Konstantinos A. Petridis

A method for determining the $q^2$ dependent $\bar{K}^{*0}$ spin amplitudes of $\bar{B}^{0}\to \bar{K}^{*0}\mu^+\mu^-$ decays through a maximum likelihood fit to data is presented.

High Energy Physics - Phenomenology High Energy Physics - Experiment

Cannot find the paper you are looking for? You can Submit a new open access paper.