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  2. Range coding - Wikipedia

    en.wikipedia.org/wiki/Range_coding

    Suppose we want to encode the message "AABA<EOM>", where <EOM> is the end-of-message symbol. For this example it is assumed that the decoder knows that we intend to encode exactly five symbols in the base 10 number system (allowing for 10 5 different combinations of symbols with the range [0, 100000)) using the probability distribution {A: .60; B: .20; <EOM>: .20}.

  3. Autoencoder - Wikipedia

    en.wikipedia.org/wiki/Autoencoder

    Autoencoders are often trained with a single-layer encoder and a single-layer decoder, but using many-layered (deep) encoders and decoders offers many advantages. [2] Depth can exponentially reduce the computational cost of representing some functions. Depth can exponentially decrease the amount of training data needed to learn some functions.

  4. List of open-source codecs - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source_codecs

    x264 – H.264/MPEG-4 AVC implementation. x264 is not a codec (encoder/decoder); it is just an encoder (it cannot decode video). OpenH264 – H.264 baseline profile encoding and decoding; OpenVVC [1] an VVC /H.266 Real Time-Decoder for Mac OS, Windows, Linux and Android and special Version of FFmpeg, [2] which was used for Ateme Satellite ...

  5. Differential Manchester encoding - Wikipedia

    en.wikipedia.org/wiki/Differential_Manchester...

    Differential Manchester encoding (DM) is a line code in digital frequency modulation in which data and clock signals are combined to form a single two-level self-synchronizing data stream. Each data bit is encoded by a presence or absence of signal level transition in the middle of the bit period, followed by the mandatory level transition at ...

  6. T5 (language model) - Wikipedia

    en.wikipedia.org/wiki/T5_(language_model)

    T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1] [2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.

  7. Vision transformer - Wikipedia

    en.wikipedia.org/wiki/Vision_transformer

    The first one ("encoder") takes in image patches with positional encoding, and outputs vectors representing each patch. The second one (called "decoder", even though it is still an encoder-only Transformer) takes in vectors with positional encoding and outputs image patches again. During training, both the encoder and the decoder ViTs are used.

  8. MPEG-4 Part 2 - Wikipedia

    en.wikipedia.org/wiki/MPEG-4_Part_2

    The quarter-pixel motion compensation feature of ASP was innovative, and was later also included (in somewhat different forms) in later designs such as MPEG-4 Part 10, HEVC, VC-1 and VVC. Some implementations of MPEG-4 Part 2 omit support for this feature, because it has a significantly harmful effect on the speed of software decoders and it is ...

  9. Seq2seq - Wikipedia

    en.wikipedia.org/wiki/Seq2seq

    Shannon's diagram of a general communications system, showing the process by which a message sent becomes the message received (possibly corrupted by noise). seq2seq is an approach to machine translation (or more generally, sequence transduction) with roots in information theory, where communication is understood as an encode-transmit-decode process, and machine translation can be studied as a ...