9 citations · 38 across the 14 of their papers we have counts for
14 papers
de Almeida-Thouless Stability and Replica Symmetry Breaking in a Hybrid Watermarking Model with Image and Message Decoding
Tatsuya Uezu, Kao Hayashi, Masaki Kawamura
We investigate the de Almeida-Thouless (AT) stability of the replica symmetric (RS) solution for a spread-spectrum watermarking model incorporating Bayes-estimation-based image res…
Correspondence between Phase Oscillator Network and Classical XY Model with the same random and frustrated interactions
Tomoyuki Kimoto, Tatsuya Uezu
We study correspondence between a phase oscillator network with distributed natural frequencies and a classical XY model at finite temperatures with the same random and frustrated…
Correspondence between phase oscillator network and classical XY model with the same infinite-range interaction in statics
T. Uezu, T. Kimoto, S. Kiyokawa +1
We study the phase oscillator networks with distributed natural frequencies and classical XY models both of which have a class of infinite-range interactions in common. We find tha…
Statistical mechanical evaluation of spread spectrum watermarking model with image restoration
Masaki Kawamura, Kao Hayashi, Tatsuya Uezu +1
In cases in which an original image is blind, a decoding method where both the image and the messages can be estimated simultaneously is desirable. We propose a spread spectrum wat…
Solvable model of a phase oscillator network on a circle with infinite-range Mexican-hat-type interaction
Tatsuya Uezu, Tomoyuki Kimoto, Masato Okada
We describe a solvable model of a phase oscillator network on a circle with infinite-range Mexican-hat-type interaction. We derive self-consistent equations of the order parameters…
Statistical Mechanical Study on a Neural Network Model with Time Dependent Interactions
T. Uezu, K. Abe, S. Miyoshi +1
We study a neural network model in which both neurons and synaptic interactions evolve in time simultaneously. The time evolution of synaptic interactions is described by a Langevi…