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Showing 1 to 20 of 126 for “"Nonnegative"”.
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Nonnegative Matrix Factorization and Document Classification
<p>Applications of Non-negative Matrix Factorization are ubiquitous, and there are several well known algorithms available. This paper is concerned with the preprocessing of the documents and how the preprocessing effects document classification. The preprocessing discussed in this paper will run …
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Combinatorics related to the totally nonnegative Grassmannian
… objects that appear in the study of nonnegative part of the Grassmannian. The classical theory of total positivity studies matrices such that all minors are nonnegative. Lustzig extended this theory to arbitrary reductive groups and flag varieties. Postnikov studied the nonnegative …
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Speech denoising using nonnegative matrix factorization and neural networks
… methods were mainly adopted for this purpose, nonnegative matrix factorization (NMF) and neural networks. Experiments were conducted to compare the performance of these two methods for speech denoising. For each of these methods, we compared the performance of the case where we had prior …
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Nonnegative Polynomials, Sums of Squares and the Cayley-Bacharach Theorem
It is a difficult problem to prove that a polynomial only takes non-negative values. One way to certify that a polynomial is non-negative is to express it as a sum of squares, however not all non-negative polynomials can be written as a sum of squares. The fundamental reason that there exist …
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Adaptive and neuroadaptive control for nonnegative and compartmental dynamical systems
… uncertain dynamical systems as well as nonlinear nonnegative uncertain dynamical systems. Nonnegative systems are essential in capturing the behavior of a wide range of dynamical systems involving dynamic states whose values are nonnegative. A subclass of nonnegative dynamical systems are …
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Advances in nonnegative matrix factorization with application on data clustering.
… representation of high-dimensional data, based nonnegative matrix factorization (NMF) framework, for better clustering. Specifically, there are three methods as follows: - Multiple Components Based Representation Learning Real data are usually complex and contain various components. For example, …
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Sequentially-fit alternating least squares algorithms in nonnegative matrix factorization
Nonnegative matrix factorization (NMF) and nonnegative least squares regression (NNLS regression) are widely used in the physical sciences; this thesis explores the often-overlooked origins of NMF in the psychometrics literature. Another method originating in psychometrics is sequentially-fit …
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Omega-Theorems for the Iterated Additive Convolution of a Nonnegative Arithmetic Function
Made available in DSpace on 2014-12-11T18:24:06Z (GMT). No. of bitstreams: 1 7412035.pdf: 1194724 bytes, checksum: dc98ec94fbbf8367053e62264996e41f (MD5) Previous issue date: 1973
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Learning strictly orthogonal p-order nonnegative Laplacian embedding via smoothed iterative reweighted method
… graph. Optimization with both orthonormal and nonnegative constraints is highly nonlinear and nonconvex in feasible domain. The p-order term in our objective further makes it nonsmooth and difficult to efficiently solve in general. We introduce a novel smoothed iterative reweighted method with …
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An investigation of the utility of monaural sound source separation via nonnegative matrix factorization applied to acoustic echo and reverberation mitigation for hands-free telephony
… of Monaural Sound Source Separation (MSSS) via Nonnegative Matrix Factorization (NMF) for various problems related to audio for hands-free telephony. We first investigate MSSS via NMF as an alternative acoustic echo reduction approach to existing approaches such as Acoustic Echo Cancellation …
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Linear-time invariant Positive Systems: Stabilization and the Servomechanism Problem
… the state, output, and/or input variables to the nonnegative orphant, are of great practical importance, as the nonnegative property occurs quite frequently in numerous applications and in nature. These type of systems frequently occur in hydrology where they are used to model natural and …
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Explicit Factorization of Generalized Cyclotomic Polynomials of Order $2^m 3$ Over a Finite Field $F_q$
… elements where $q$ is a prime power, $m$ is a nonnegative integer and $a$ is a nonnegative element of $F_q$. We use the relation between usual cyclotomic polynomials and $a$-cyclotomic polynomials. Factorizations split into eight categories according to $q \equiv \pm1$ (mod 4), $a$ and $-3$ are …
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Identifying drug-target and drug-disease associations using computational intelligence
… MDIPA, NMTF-DTI, and NTD-DR. MDIPA is a nonnegative matrix factorization-based method to predict interaction scores of drug-microRNA pairs, where the interaction scores can effectively be used for drug repositioning. This method uses the functional similarity of microRNAs and structural …
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Applications and Extensions of Quadratic Signal Representations
… of the dissertation concentrates on developing nonnegative, high-resolution TFRs that correspond with intuitive notions of energy distribution. These so-called consistent TFRs are developed by requiring the desired representation to be consistent with a set of spectrogram-based energy …
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N-Bakry Emery Ricci Curvature & N-Quasi Einstein Metrics
… results known for noncompact manifolds with nonnegative Ricci curvature to spaces with nonnegative N-Bakry Émery Ricci curvature. We study the Splitting Theorem and a property called the geodesic loops to infinity property in relation to spaces with nonnegative N-Bakry Émery Ricci Curvature. …
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N-bakry Emery Ricci Curvature & N-quasi Einstein Metrics
… results known for noncompact manifolds with nonnegative Ricci curvature to spaces with nonnegative N-Bakry Émery Ricci curvature. We study the Splitting Theorem and a property called the geodesic loops to infinity property in relation to spaces with nonnegative N-Bakry Émery Ricci Curvature. …
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INTRAINDUSTRY INFORMATION TRANSFERS: AN ANALYSIS OF CONFIRMATORY AND CONTRADICTORY EARNINGS NEWS
… the market assigns a confirmation premium to nonnegative earnings surprises that are confirmatory but that no such effect emerges for confirmatory earnings with negative surprises. Moreover, in comparison to value firms, growth firms exhibit a larger confirmation premium. Further analysis also …
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A general, context-aware pedestrian trajectory prediction model
… meet this objective, first, the Augmented Semi Nonnegative Sparse Coding (ASNSC) [13] framework, for trajectory prediction, is extended to embed context, and build the Context-aware Augmented Semi Nonnegative Sparse Coding (CASNSC) algorithm. For prediction in new, unseen intersections with …
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Minorant properties
… minorant property provided that the norm of each nonnegative matrix is greater than or equal to the norm of every matrix that it majorizes. Similarly, if the norm of each nonnegative matrix is greater than or equal to the norm of every nonnegative matrix that it majorizes, then the space of …
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Invariance Properties of Statistical Tests for Dependent Observations
… result is a characterization of the class of all nonnegative definite solutions W to the matrix equation AWA = B, where A is a symmetric and B is a nonnegative definite matrix. We illustrate the proof of this characterization by considering a special case where A = B = A* = I - 1/n ee', I is the …
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