Search Results for author: Koray Ozcan

Found 3 papers, 0 papers with code

Quantization-Guided Training for Compact TinyML Models

no code implementations10 Mar 2021 Sedigh Ghamari, Koray Ozcan, Thu Dinh, Andrey Melnikov, Juan Carvajal, Jan Ernst, Sek Chai

We propose a Quantization Guided Training (QGT) method to guide DNN training towards optimized low-bit-precision targets and reach extreme compression levels below 8-bit precision.

Human Detection Quantization

Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions

no code implementations31 May 2019 Luis Riera, Koray Ozcan, Jennifer Merickel, Mathew Rizzo, Soumik Sarkar, Anuj Sharma

Among the several deep learning architectures, convolutional neural networks (CNNs) outperformed other machine learning models, especially for region proposal and object detection tasks.

Lane Detection Object Detection +1

Accelerometer based Activity Classification with Variational Inference on Sticky HDP-SLDS

no code implementations19 Oct 2015 Mehmet Emin Basbug, Koray Ozcan, Senem Velipasalar

With the advent of smartphones equipped with acceloremeter, gyroscope and camera; it is now possible to develop activity classification platforms everyone can use conveniently.

General Classification Time Series +1

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