2 citations · 5 across the 5 of their papers we have counts for
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cs.CV2020★ 1 cited
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…
cs.LG2020★ 2 cited
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…
cs.AI2020
Self-recognition in conversational agents
Yigit Oktar, Erdem Okur, Mehmet Turkan
In a standard Turing test, a machine has to prove its humanness to the judges. By successfully imitating a thinking entity such as a human, this machine then proves that it can als…