Depth Estimation from Single Image using Sparse Representations. - Yigit Oktar (CoRR, 2016)

Dictionary learning with residual codes. - Yigit Oktar; Mehmet Türkan (SIU, 2017)

Boosting Dictionary Learning with Error Codes. - Yigit Oktar; Mehmet Türkan (CoRR, 2017)

A review of sparsity-based clustering methods. - Yigit Oktar; Mehmet Türkan (Signal Process., 2018)

Convolutional Neural Networks: A Binocular Vision Perspective. - Yigit Oktar; Diclehan Karakaya; Oguzhan Ulucan; Mehmet Türkan (CoRR, 2019)

K-polytopes: a superproblem of k-means. - Yigit Oktar; Mehmet Türkan (Signal Image Video Process., 2019)

Classification Via Simplicial Learning. - Yigit Oktar; Mehmet Türkan (ICIP, 2020)

Binocular Vision based Convolutional Networks. - Yigit Oktar; Oguzhan Ulucan; Diclehan Karakaya; Eda Ozgu Ersoy; Mehmet Türkan (SIU, 2020)

The Mimicry Game: Towards Self-recognition in Chatbots. - Yigit Oktar; Erdem Okur; Mehmet Türkan (CoRR, 2020)

On the Preservation of Spatio-temporal Information in Machine Learning Applications. - Yigit Oktar; Mehmet Türkan (CoRR, 2020)

Evolutionary simplicial learning as a generative and compact sparse framework for classification. - Yigit Oktar; Mehmet Türkan (Signal Process., 2020)

Variations on structured sparsity for machine learning (Makine öğrenimi için yapısal seyreklik üzerine çeşitlemeler) - Yigit Oktar (2020)

Casting graph isomorphism as a point set registration problem using a simplex embedding and sampling. - Yigit Oktar (CoRR, 2021)

Preserving Spatio-Temporal Information in Machine Learning: A Shift-Invariant k-Means Perspective. - Yigit Oktar; Mehmet Türkan (J. Signal Process. Syst., 2022)

A computing machinery using a continuous memory tape. - Yigit Oktar (CoRR, 2024)