Abstract: Spectral unmixing of high spatial resolution hyperspectral images is challenging due to the need to accurately identify and extract endmembers from complex mixtures of materials within each ...
This repository contains the official implementation of HSISCN (Hyperspectral Image Sparse Coding Network), a deep learning framework designed for hyperspectral image reconstruction from RGB. HSISCN ...
Abstract: Sparse code multiple access (SCMA) is a promising non-orthogonal multiple access scheme for enabling massive connectivity in next generation wireless networks. However, current SCMA ...
But the story that matters here is not about one company's disclosure failure. It is about why Cursor — and likely many other ...
It’s time to do something about Manitoba’s lobbying laws. On Dec. 22, 2025 when announcing the intention of his government to ...
S. Ferdowsi, S. Voloshynovskiy, and D. Kostadinov, "A multi-layer network based on Sparse Ternary Codes for universal vector compression," ArXiv e-prints, 2017. S. Ferdowsi, S. Voloshynovskiy, D.
Dozens of NYC nonprofits flouted state and federal laws by endorsing and fundraising for state and city candidates. Some ...
OpenAI co-founder Andrej Karpathy says December 2025 was the inflection point. The data — and the job market — are beginning ...
Andrej Karpathy is pioneering autonomous loop” AI systems—especially coding agents and self-improving research agents—while ...
Vibe coding is fast, but can create ownership, confidentiality and vulnerability issues. Ballard Spahr attorneys share steps to reduce exposure before you ship.
NerT-CA is a hybrid approach of Neural and Tensorial representations for accelerated 4D reconstructions with sparse-view CA. Building on top of the previous NeRF-based work NeRF-CA, we model the CA ...
Pro, Xiaomi’s agent focused LLM with 1M context, strong coding, efficient architecture, and lower API costs than premium ...
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