Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 140 for “"Vector space"”.
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An exploration of near-vector space theory
There have been several definitions of near-vector spaces in the literature. In this thesis, we adopt the definition introduced by J. André. Although many properties of near-vector spaces have been established in the literature, this thesis provides algebraic proofs of several key results. One such …
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Context-based motion retrieval using vector space model
… and its semantics. Our approach uses vector space model to measure the similarities among motions, which are made discrete using the vocabulary technique and transformation invariant using the relational feature model. In our approach, relational features are first extracted from …
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A vector space approach for aspect-based sentiment analysis
Vector representations for language have been shown to be useful in a number of Natural Language Processing (NLP) tasks. In this thesis, we aim to investigate the effectiveness of word vector representations for the research problem of Aspect-Based Sentiment Analysis (ABSA), which attempts to …
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Normal Subgroups of the Symplectic Group on a Countably Infinite Dimensional Vector Space
Made available in DSpace on 2014-12-09T22:17:35Z (GMT). No. of bitstreams: 1 6706681.pdf: 2168247 bytes, checksum: c684e5cf1d4e7bfbe57aaded21ad89f6 (MD5) Previous issue date: 1966
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Artificial empathy : using vector space modeling and mixed scope alignment to infer emotional states of characters in stories
… programs, I created a multi-corpus informed vector space model to determine the emotions evoked by individual terms. I then combined that information with the semantic parse trees produced by the Genesis Story Understanding System to ascertain the emotions evoked by a single sentence. …
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Efficient algorithm to construct phi function in vector space secret sharing scheme and application of secret sharing scheme in Visual Cryptography
… Scheme, Monotone Circuit Scheme, and Brickell Vector Space Scheme. Brikell’s vector space secret sharing construction requires the existence of a function from a set of participant <em>P</em> in to vector space <em>Zdp</em>, where <em>p</em> is a prime number and <em>d</em> is a positive …
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Rational Creatures: Using Vector Space Models to Examine Independence in the Novels of Jane Austen, Maria Edgeworth, and Sydney Owenson (1800–1820)
… carried out on the application of term-document vector space models (topic models and frequency based analysis) to nineteenth century novels, no study exists which applies word-context models (word embeddings and semantic networks) to the novels of Austen, Edgeworth, and Owenson. This study, …
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Applications of Powerset Operators, Especially to Matroids
<p>Let \(\mathcal{V}\) denote a vector space over an arbitrary field with an inner product. For any collection \(\mathcal{S}\) of vectors from \(\mathcal{V}\) the collection of all vectors orthogonal to each vector in \(\mathcal{S}\) is a subspace, denoted as \(\mathcal{S}^{\perp_v}\) and called …
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On the theory of Boolean vector spaces
"The concept of a (abstract) Boolean vector space is due to Subrahmanyam [6]1. In introducing this concept, Subrahmanyam was motivated by Foster [1] who demonstrated that each element of a p-ring R (with unity) can be represented as a type of "Boolean vector" over the Boolean algebra of all the …
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Representation learning of recipes
… introduces methods for learning distributed, vector representations of cooking recipes. The individual components of a recipe -- the images, instructions, and ingredients -- are first treated individually. These representations are learned from a large, multi-modal dataset collected -- and …
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Complex Vector Lattices: Tensor Products And Multilinear Maps
… thesis, we study completions of Archimedean real vector lattices relative to any nonempty set of continuous positively homogeneous functions defined on Rn. Examples of such completions include square mean closed vector lattices and geometric mean closed vector lattices. These functional …
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An Information-centric Algorithm for Feature Extraction in High-dimensional Data
… demonstrates the importance of the information vector space in feature extraction. More specifically, a hidden Markov model is used to consider the relation between high-dimensional data and their low-dimensional features. Feature extraction is regarded as an optimization problem to figure out …
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SIMPLE TWO-SIDED RATIONAL VECTOR SPACES OF RANK TWO
… symmetric algebras over a two-sided vector space. After reviewing the definition of a two-sided vector space and giving some examples, we briefly recall the theory of simple two-sided vector spaces. We then assume k is a field of characteristic zero and t is transcendental over k and …
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SIMPLE TWO-SIDED RATIONAL VECTOR SPACES OF RANK TWO
… symmetric algebras over a two-sided vector space. After reviewing the definition of a two-sided vector space and giving some examples, we briefly recall the theory of simple two-sided vector spaces. We then assume k is a field of characteristic zero and t is transcendental over k and …
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The ring of invariants of the orthogonal group over finite fields in odd characteristic
Let $V$ be a non-zero finite dimensional vector space over a finite field $\mathbb{F}_q$ of odd characteristic. Fixing a non-singular quadratic form $\xi_0$ in $S^2(V^*)$, the symmetric square of the dual of V we are concerned with the Orthogonal group $O(\xi_0)$, the subgroup of the General Linear …
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A Method of Coordinatizing an Affine Geometry
… assumed that the points of a line in a Euclidean space are in one-to-one correspondence with the real numbers. Many modern treatments of analytic geometry take a different approach. A somewhat similar but more general examination of the problem of coordinatizing geometries was published in …
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Speaker Identification Based On Discriminative Vector Quantization And Data Fusion
… (SI) approaches based on discriminative Vector Quantization (VQ) and data fusion techniques are presented in this dissertation. The SI approaches based on Discriminative VQ (DVQ) proposed in this dissertation are the DVQ for SI (DVQSI), the DVQSI with Unique speech feature vector space …
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Algorithmic Design and Optimization for Quantum Computation with a Qubit-Oscillator System
… the qubit, which exists in a two-dimensional vector space, as its basic unit. More recently, there has been increasing interest in an analog approach, which uses as its basic unit a qudit in an infinite-dimensional vector space. Alongside these two approaches is a third less-studied approach, …
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Tensor Products Of Vector Seminormed Spaces
A vector seminormed space is a triple consisting of a vector space, a Dedekind complete Riesz space, and a vector valued seminorm, called a vector seminorm, defined on the vector space and taking values in the Riesz space. The collection of vector seminormed spaces with suitably defined morphisms …
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Grothendieck Semirings and Definable Endofunctions
… group, as well as the one of any infinite vector space over any division ring, is isomorphic to the semiring of nonnegative polynomials over the integers. A natural ordering on the semiring is related to an interesting property that definable endofunctions can have, namely, being surjective …
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