Results 41 to 50 of about 1,295,202 (338)

Matching the LBO Eigenspace of Non-Rigid Shapes via High Order Statistics

open access: yesAxioms, 2014
A fundamental tool in shape analysis is the virtual embedding of the Riemannian manifold describing the geometry of a shape into Euclidean space. Several methods have been proposed to embed isometric shapes into flat domains, while preserving the ...
Alon Shtern, Ron Kimmel
doaj   +1 more source

Local procrustes for manifold embedding: a measure of embedding quality and embedding algorithms [PDF]

open access: yesMachine Learning, 2009
We present the Procrustes measure, a novel measure based on Procrustes rotation that enables quantitative comparison of the output of manifold-based embedding algorithms (such as LLE (Roweis and Saul, 2000) and Isomap (Tenenbaum et al, 2000)). The measure also serves as a natural tool when choosing dimension-reduction parameters.
Yair Goldberg, Ya'acov Ritov
openaire   +3 more sources

Using the Output Embedding to Improve Language Models

open access: yes, 2017
We study the topmost weight matrix of neural network language models. We show that this matrix constitutes a valid word embedding. When training language models, we recommend tying the input embedding and this output embedding.
Press, Ofir, Wolf, Lior
core   +1 more source

Extrinsic Curvature Embedding Diagrams [PDF]

open access: yes, 2003
Embedding diagrams have been used extensively to visualize the properties of curved space in Relativity. We introduce a new kind of embedding diagram based on the {\it extrinsic} curvature (instead of the intrinsic curvature). Such an extrinsic curvature
C. Fronsdal   +8 more
core   +3 more sources

Speaker/Style-Dependent Neural Network Speech Synthesis Based on Speaker/Style Embedding [PDF]

open access: yesJournal of Universal Computer Science, 2020
The paper presents a novel architecture and method for training neural networks to produce synthesized speech in a particular voice and speaking style, based on a small quantity of target speaker/style training data. The method is based on neural network
Milan Sečujski   +4 more
doaj   +3 more sources

Embeddings and Expansions [PDF]

open access: yesBulletin of the Belgian Mathematical Society - Simon Stevin, 2003
In this paper we sketch a general theory of embeddings for geometries with string diagrams, focusing on their hulls. An affine-like geometry, which we call expansion, is associated to every embedding. As we shall prove, the universal cover of the expansion of an embedding is the expansion of the hull of that embedding. Some applications of this theorem
openaire   +4 more sources

A solution to the reversible embedding problem for finite Markov chains

open access: yes, 2016
The embedding problem for Markov chains is a famous problem in probability theory and only partial results are available up till now. In this paper, we propose a variant of the embedding problem called the reversible embedding problem which has a deep ...
Jia, Chen
core   +1 more source

Modal Adverbs in FDG: Putting the Theory to the Test

open access: yesOpen Linguistics, 2018
One of the distinctive features of the theory of Functional Discourse Grammar (FDG) is that it distinguishes various hierarchically organized layers of analysis, each of which is provided with a slot for modifiers relevant at the layer in question ...
Keizer Evelien
doaj   +1 more source

An embedded fingernail [PDF]

open access: yesPostgraduate Medical Journal, 1982
Abstract A case of an embedded fingernail is reported. The increased curvature of the nail plates is considered aetiologically important. Treatment was by the method first described by Winograd for an embedded toenail.
N. Eke, K. Little
openaire   +3 more sources

Re-embedding a 1-Plane Graph into a Straight-line Drawing in Linear Time

open access: yes, 2016
Thomassen characterized some 1-plane embedding as the forbidden configuration such that a given 1-plane embedding of a graph is drawable in straight-lines if and only if it does not contain the configuration [C. Thomassen, Rectilinear drawings of graphs,
A Grigoriev   +12 more
core   +1 more source

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