Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: Recently, the issue of visual tracking has been brought into a focus of public attention. In this paper, we present the improved spatio-temporal context (STC) tracking algorithm combining LK ...
Abstract: This paper examines the performance of two leader election algorithms in the context of cooperative UAV missions, specifically for perimeter patrol and threat tracking. The study compares ...
[OUTPUT_DIR] ├── crawled/ │ └── 2212.09748/ │ ├── 2212.09748.pdf: PDF file from Arxiv │ └── 2212.09748.tar.gz: latex file package from Arxiv ├── extracted/ │ └── 2212.09748/ │ ├── 2212.09748_text.txt ...
Traditional approach: Load everything upfront = 100k+ tokens consumed Context Cascade: Load on demand = ~2k tokens initially, expand as needed Result: 90%+ context savings while maintaining full ...
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