KTT and UIC: theory and empirics from Turkey



KLMS based prescreener approach on landmine detection and fusion with various types of prescreener algorithms (Fusion of KLMS and Blob Based Pre-Screener for Buried Land Mine Detection Using Ground Penetrating Radar)
Baydar, Bora; Akar, Gözde; Yüksel, Seniha Esen; Öztürk, Serhat (2016-09-01)
HFE based multi-variate quadratic cryptosystems and Dembowski Ostrom polynomials
Alam, Bilal; Akyıldız, Ersan; Kırlar, Barış Bülent; Department of Cryptography (2013)
Harayama and Friesen proposed linearised binomial attack for multivariate quadratic cryptosystems and introduced weak Dembowski Ostrom(DO) polynomials in this framework over the finite fi eld F2. They conjecture about the existence of infi nite class of weak DO polynomials and presented the open problem of enumerating their classes. We extend linearised binomial attack to multivariate quadratic cryptosystems over Fp for any prime p and redefi ne the weak DO polynomials for general case. We identify an in fi...
HPRNet: Hierarchical point regression for whole-body human pose estimation
SAMET, NERMİN; Akbaş, Emre (2021-11-01)
In this paper, we present a new bottom-up one-stage method for whole-body pose estimation, which we call “hierarchical point regression,” or HPRNet for short. In standard body pose estimation, the locations of ~17 major joints on the human body are estimated. Differently, in whole-body pose estimation, the locations of fine-grained keypoints (68 on face, 21 on each hand and 3 on each foot) are estimated as well, which creates a scale variance problem that needs to be addressed. To handle the scale variance ...
CBFEM-MPI: A Parallelized Version of Characteristic Basis Finite Element Method for Extraction of 3-D Interconnect Capacitances
Ozgun, Ozlem; Mittra, Raj; Kuzuoğlu, Mustafa (Institute of Electrical and Electronics Engineers (IEEE), 2009-02-01)
In this paper, we present a novel, non-iterative domain decomposition method, which has been parallelized by using the message passing interface (MPI) library, and used to efficiently extract the capacitance matrixes of 3-D interconnect structures, by employing characteristic basis functions (CBFs) in the context of the finite element method (FEM). In this method, which is Failed CBFEM-MPI, the computational domain is partitioned into a number of nonoverlapping subdomains in which the CBFs are constructed b...
CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization
Weber, Gerhard-Wilhelm; Batmaz, İnci; Köksal, Gülser; Taylan, Pakize; Yerlikaya-Ozkurt, Fatma (2012-01-01)
Regression analysis is a widely used statistical method for modelling relationships between variables. Multivariate adaptive regression splines (MARS) especially is very useful for high-dimensional problems and fitting nonlinear multivariate functions. A special advantage of MARS lies in its ability to estimate contributions of some basis functions so that both additive and interactive effects of the predictors are allowed to determine the response variable. The MARS method consists of two parts: forward an...
Citation Formats
E. Erdil, KTT and UIC: theory and empirics from Turkey. 2017, p. 32.