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Showing 1 to 6 of 6 for “"Adaptive compression"”.

  1. Adaptive Compression Algorithm For Full Colour Three Dimensional Integral Images

    … that to exploit this coiTelation effect the compression technique is based around the three dimensional Discrete Cosine Transform. To enable accurate compression and de-compression of image data, the scanned image must be aligned coiTcctly to take advantage of the inherent structure imposed …

    de-montfort Repository record for Adaptive Compression Algorithm For Full Colour Three Dimensional Integral Images (opens in a new tab)

  2. Improving LLM Long Context Understanding via Synthetic Data and Adaptive Compression

    … data. Second, we introduce a novel two-pass, adaptive compression technique for more intelligent compression of long contexts. We find that the two strategies lead to orthogonal performance improvements on real-world long context tasks, resulting in an overall 4.2% increase in accuracy …

    mit Repository record for Improving LLM Long Context Understanding via Synthetic Data and Adaptive Compression (opens in a new tab)

  3. Estimating File Compressibility Using File Extensions

    Adaptive compression systems dynamically choose a compression strategy — including no compression — by monitoring CPU usage, output rate, expected time to compress, and perhaps most importantly, the estimated compressibility of the data. Many adaptive compression systems were designed with the …

    umn Repository record for Estimating File Compressibility Using File Extensions (opens in a new tab)

  4. Hardware Implementation of a Novel Image Compression Algorithm

    … bringing the need for efficient and effective compression. Image compression is important for effective storage and transmission of images. Many techniques have been developed in the past, including transform coding, vector quantization and neural networks. In this thesis, a novel adaptive

    uno Repository record for Hardware Implementation of a Novel Image Compression Algorithm (opens in a new tab)

  5. Compressive sensor networks : fundamental limits and algorithms

    Compressed sensing is a non-adaptive compression method that takes advantage of natural sparsity at the input and is fast gaining relevance to both researchers and engineers for its universality and applicability. First developed by Candis et al., the subject has seen a surge of high-quality …

    mit Repository record for Compressive sensor networks : fundamental limits and algorithms (opens in a new tab)