105 research outputs found
Alternating Direction Method of Multipliers Based on -norm for Multiple Measurement Vector Problem
In this paper, we propose an alternating direction method of multipliers
(ADMM)-based optimization algorithm to achieve better undersampling rate for
multiple measurement vector (MMV) problem. The core is to introduce the
-norm sparsity constraint to describe the joint-sparsity of the MMV
problem, which is different from the widely used -norm constraint
in the existing research. In order to illustrate the better performance of
-norm, first this paper proves the equivalence of the sparsity of
the row support set of a matrix and its -norm. Afterward, the MMV
problem based on -norm is proposed. Moreover, building on the
Kurdyka-Lojasiewicz property, this paper establishes that the sequence
generated by ADMM globally converges to the optimal point of the MMV problem.
Finally, the performance of our algorithm and comparison with other algorithms
under different conditions is studied by simulated examples.Comment: 24 pages, 5 figures, 4 table
Web Design for Low Bandwidth Areas
This study gives an overview of the issues and solutions to develop Web sites for low bandwidth areas. It sheds lights on the fields in web design, cross-cultural environment, low bandwidth, and mobile web design. It provides some examples and potential solutions from the design and technique perspective to solve low bandwidth problems. And finally a demo project was created to prove the correctness of the analysis.Master of Science in Information Scienc
Chinese Open Instruction Generalist: A Preliminary Release
Instruction tuning is widely recognized as a key technique for building
generalist language models, which has attracted the attention of researchers
and the public with the release of InstructGPT~\citep{ouyang2022training} and
ChatGPT\footnote{\url{https://chat.openai.com/}}. Despite impressive progress
in English-oriented large-scale language models (LLMs), it is still
under-explored whether English-based foundation LLMs can perform similarly on
multilingual tasks compared to English tasks with well-designed instruction
tuning and how we can construct the corpora needed for the tuning.
To remedy this gap, we propose the project as an attempt to create a Chinese
instruction dataset by various methods adapted to the intrinsic characteristics
of 4 sub-tasks. We collect around 200k Chinese instruction tuning samples,
which have been manually checked to guarantee high quality. We also summarize
the existing English and Chinese instruction corpora and briefly describe some
potential applications of the newly constructed Chinese instruction corpora.
The resulting \textbf{C}hinese \textbf{O}pen \textbf{I}nstruction
\textbf{G}eneralist (\textbf{COIG}) corpora are available in
Huggingface\footnote{\url{https://huggingface.co/datasets/BAAI/COIG}} and
Github\footnote{\url{https://github.com/FlagOpen/FlagInstruct}}, and will be
continuously updated
GW26-e4518 The diversity of BMI and WC on cardiac damage in patients from a cardiac rehabilitation program after acute coronary syndrome
A free-standing humidity sensor with high sensing reliability for environmental and wearable detection
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