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Here are 10 approaches to implement adaptive noise reduction, ordered by complexity/effectiveness:
### 1. Enhanced Spectral Subtraction
- Track noise floor during silence periods
- Use overlappin…
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# General comments
The code is clear and well-explained, making it easy to follow and understand.
You applied two different approach: one based on _simulated annealing_ and the other on _RMHC_.
T…
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hi, guys:
Recently, I began to use the lasagne because it implements the SPPLayer. It is very convenient.
while when I use it to build new model, I found that it has not enough function sometime…
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Hi all,
Is there any interest in combining the static and adaptive mesh refinement approaches? I am finding many instances where I would like to adaptively refine only a specific region of the flo…
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### Open Source Project name
Chips-n-Salsa
### What is your project?
Chips-n-Salsa is a Java library of customizable, hybridizable, iterative, parallel, stochastic, and self-adaptive local search a…
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Hi,
I am doing a PhD in nonlinear optics in which we encounter several semilinear parabolic PDE like the Nonlinear Schrödinger Equation (NLSE) and its variant.
Most of these PDEs are semilinear …
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A dynamic computation graph is a key feature of PyTorch that allows the framework to create a map of calculations while the program is running.
Key Points:
Built While Running: The graph is formed…
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https://arxiv.org/pdf/1603.08983.pdf
- Alex Graves
- (Submitted on 29 Mar 2016 (v1), last revised 21 Feb 2017 (this version, v6)
TMats updated
6 years ago
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- https://arxiv.org/pdf/2404.16710
- Diagram
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## Description
We need to implement a Gradient Guided Value Search (GGVS) method. This method aims to utilize gradient information to efficiently search for optimal values in a given problem space.…