• derivative is everywhere injective. An embedding, or a smooth embedding, is defined to be an immersion that is an embedding in the topological sense mentioned...
    18 KB (2,676 words) - 10:02, 18 May 2024
  • In natural language processing (NLP), a word embedding is a representation of a word. The embedding is used in text analysis. Typically, the representation...
    29 KB (3,141 words) - 14:56, 31 July 2024
  • embedded, embed, or embedding in Wiktionary, the free dictionary. Embedded or embedding (alternatively imbedded or imbedding) may refer to: Embedding...
    3 KB (357 words) - 09:11, 7 May 2023
  • Thumbnail for Embedded software
    Embedded software is computer software, written to control machines or devices that are not typically thought of as computers, commonly known as embedded...
    9 KB (920 words) - 11:37, 29 January 2024
  • In mathematics, the Segre embedding is used in projective geometry to consider the cartesian product (of sets) of two projective spaces as a projective...
    7 KB (1,301 words) - 05:02, 4 January 2024
  • location of atom i {\displaystyle i} , and F {\displaystyle F} is an embedding function that represents the energy required to place atom i {\displaystyle...
    3 KB (451 words) - 21:55, 18 August 2023
  • In linguistics, center embedding is the process of embedding a phrase in the middle of another phrase of the same type. This often leads to difficulty...
    9 KB (1,298 words) - 05:47, 29 May 2024
  • Font embedding is the inclusion of font files inside an electronic document for display across different platforms. Font embedding is controversial because...
    4 KB (370 words) - 19:31, 15 April 2024
  • Self-embedding is the insertion of foreign objects either into soft tissues under the skin or into muscle. Self-embedding is typically considered deliberate...
    24 KB (2,707 words) - 01:12, 8 November 2023
  • Thumbnail for Embedded system
    An embedded system is a computer system—a combination of a computer processor, computer memory, and input/output peripheral devices—that has a dedicated...
    42 KB (5,227 words) - 06:51, 2 August 2024
  • Thumbnail for Graph embedding
    embedding, cellular embedding or map is an embedding in which every face is homeomorphic to an open disk. A closed 2-cell embedding is an embedding in...
    13 KB (1,744 words) - 07:48, 18 July 2024
  • footprint and is well-suited for embedding in applications which require high-performance and concurrency. As with most embedded database systems, HailDB is...
    23 KB (2,569 words) - 17:21, 15 May 2024
  • generating embeddings for chunks of documents and storing (document chunk, embedding) tuples. Then given a query in natural language, the embedding for the...
    9 KB (980 words) - 14:31, 16 July 2024
  • graph theory, a mathematical discipline, a linkless embedding of an undirected graph is an embedding of the graph into three-dimensional Euclidean space...
    29 KB (3,469 words) - 20:06, 19 February 2024
  • spaces of functions. Several of the Sobolev embedding theorems are compact embedding theorems. When an embedding is not compact, it may possess a related...
    3 KB (309 words) - 21:42, 12 September 2021
  • Latent space (redirect from Embedding space)
    A latent space, also known as a latent feature space or embedding space, is an embedding of a set of items within a manifold in which items resembling...
    10 KB (1,180 words) - 16:01, 31 July 2024
  • Thumbnail for Transformer (deep learning architecture)
    dimensions in an embedding vector is called hidden size or embedding size and written as d emb {\displaystyle d_{\text{emb}}} An un-embedding layer is almost...
    93 KB (11,696 words) - 20:37, 15 August 2024
  • Thumbnail for Knowledge graph embedding
    dimension d {\displaystyle d} , called embedding dimension. In the general case, we can have different embedding dimensions for the entities d {\displaystyle...
    52 KB (6,010 words) - 10:17, 1 August 2024
  • differential topology, there are two Whitney embedding theorems, named after Hassler Whitney: The strong Whitney embedding theorem states that any smooth real...
    13 KB (1,956 words) - 20:39, 30 May 2024
  • Thumbnail for Nonlinear dimensionality reduction
    optimizes to find an embedding that aligns the tangent spaces. Maximum Variance Unfolding, Isomap and Locally Linear Embedding share a common intuition...
    48 KB (6,075 words) - 21:23, 5 August 2024
  • W^{\ell ,q}(\mathbf {R} ^{n})} and the embedding is continuous. In the special case of k = 1 and ℓ = 0, Sobolev embedding gives W 1 , p ( R n ) ⊆ L p ∗ ( R...
    20 KB (2,893 words) - 18:00, 8 May 2024
  • Embedment is a phenomenon in mechanical engineering in which the surfaces between mechanical members of a loaded joint embed. It can lead to failure by...
    3 KB (418 words) - 08:19, 7 August 2019
  • Nash embedding theorems (or imbedding theorems), named after John Forbes Nash Jr., state that every Riemannian manifold can be isometrically embedded into...
    16 KB (1,893 words) - 13:05, 10 March 2024
  • Mitchell's embedding theorem, also known as the Freyd–Mitchell theorem or the full embedding theorem, is a result about abelian categories; it essentially...
    5 KB (637 words) - 23:29, 24 February 2023
  • Microsoft. 2009-11-10. Microsoft Typography - Font Embedding for the Web Microsoft Typography - Web Embedding Fonts Tool EOT-utils – open-source free software...
    6 KB (709 words) - 20:47, 6 January 2024
  • planar graph. A 1-outerplanar embedding of a graph is the same as an outerplanar embedding. For k > 1 a planar embedding is k-outerplanar if removing the...
    35 KB (4,471 words) - 04:49, 30 April 2024
  • both defined on the same space. Several of the Sobolev embedding theorems are continuous embedding theorems. Let X and Y be two normed vector spaces, with...
    4 KB (534 words) - 15:13, 28 March 2024
  • theory, a Tutte embedding or barycentric embedding of a simple, 3-vertex-connected, planar graph is a crossing-free straight-line embedding with the properties...
    15 KB (2,010 words) - 01:24, 3 January 2024
  • Object Linking and Embedding (OLE) is a proprietary technology developed by Microsoft that allows embedding and linking to documents and other objects...
    20 KB (2,759 words) - 02:14, 29 July 2024
  • Thumbnail for T-distributed stochastic neighbor embedding
    t-distributed stochastic neighbor embedding (t-SNE) is a statistical method for visualizing high-dimensional data by giving each datapoint a location...
    14 KB (1,883 words) - 04:51, 29 July 2024