2 citations · 5 across the 3 of their papers we have counts for
4 papers
On the Preservation of Spatio-temporal Information in Machine Learning Applications
Yigit Oktar, Mehmet Turkan
In conventional machine learning applications, each data attribute is assumed to be orthogonal to others. Namely, every pair of dimension is orthogonal to each other and thus there…
Evolutionary Simplicial Learning as a Generative and Compact Sparse Framework for Classification
Yigit Oktar, Mehmet Turkan
Dictionary learning for sparse representations has been successful in many reconstruction tasks. Simplicial learning is an adaptation of dictionary learning, where subspaces become…
Convolutional Neural Networks: A Binocular Vision Perspective
Yigit Oktar, Diclehan Karakaya, Oguzhan Ulucan +1
It is arguable that whether the single camera captured (monocular) image datasets are sufficient enough to train and test convolutional neural networks (CNNs) for imitating the bio…
Depth Estimation from Single Image using Sparse Representations
Yigit Oktar
Monocular depth estimation is an interesting and challenging problem as there is no analytic mapping known between an intensity image and its depth map. Recently there has been a l…