"supervector" meaning in All languages combined

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "super",
        "3": "vector"
      },
      "expansion": "super- + vector",
      "name": "prefix"
    }
  ],
  "etymology_text": "From super- + vector.",
  "forms": [
    {
      "form": "supervectors",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "supervector (plural supervectors)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "English terms prefixed with super-",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with 1 entry",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with entries",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Mathematics",
          "orig": "en:Mathematics",
          "parents": [
            "Formal sciences",
            "Sciences",
            "All topics",
            "Fundamental"
          ],
          "source": "w"
        }
      ],
      "examples": [
        {
          "ref": "2015, Xiao-Lei Zhang, “Universal Background Sparse Coding and Multilayer Bootstrap Network for Speaker Recognition”, in arXiv:",
          "text": "We first learn a high-dimensional sparse code for each frame by a universal background MBN, then accumulate the sparse codes of the frames in a session (a.k.a. utterance) into a single high-dimensional sparse supervector, and finally reduce the session-level sparse supervectors to a low-dimensional subspace by MBN where clustering is conducted.",
          "type": "quote"
        }
      ],
      "glosses": [
        "A combination of multiple vectors that represents a higher-dimensional object."
      ],
      "id": "en-supervector-en-noun-TQ2Dv6fV",
      "links": [
        [
          "mathematics",
          "mathematics"
        ],
        [
          "vector",
          "vector"
        ]
      ],
      "raw_glosses": [
        "(mathematics) A combination of multiple vectors that represents a higher-dimensional object."
      ],
      "topics": [
        "mathematics",
        "sciences"
      ]
    }
  ],
  "word": "supervector"
}

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "super",
        "3": "vector"
      },
      "expansion": "super- + vector",
      "name": "prefix"
    }
  ],
  "etymology_text": "From super- + vector.",
  "forms": [
    {
      "form": "supervectors",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "supervector (plural supervectors)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        "English countable nouns",
        "English entries with incorrect language header",
        "English lemmas",
        "English nouns",
        "English terms prefixed with super-",
        "English terms with quotations",
        "Pages with 1 entry",
        "Pages with entries",
        "en:Mathematics"
      ],
      "examples": [
        {
          "ref": "2015, Xiao-Lei Zhang, “Universal Background Sparse Coding and Multilayer Bootstrap Network for Speaker Recognition”, in arXiv:",
          "text": "We first learn a high-dimensional sparse code for each frame by a universal background MBN, then accumulate the sparse codes of the frames in a session (a.k.a. utterance) into a single high-dimensional sparse supervector, and finally reduce the session-level sparse supervectors to a low-dimensional subspace by MBN where clustering is conducted.",
          "type": "quote"
        }
      ],
      "glosses": [
        "A combination of multiple vectors that represents a higher-dimensional object."
      ],
      "links": [
        [
          "mathematics",
          "mathematics"
        ],
        [
          "vector",
          "vector"
        ]
      ],
      "raw_glosses": [
        "(mathematics) A combination of multiple vectors that represents a higher-dimensional object."
      ],
      "topics": [
        "mathematics",
        "sciences"
      ]
    }
  ],
  "word": "supervector"
}