نتایج جستجو برای: while tsvd produces a sparse model

تعداد نتایج: 13806443  

Journal: :Research in Computing Science 2016
Esteban Herrera Hernandez Rafael Lemuz López Carlos Guillén Galván Ángel Ramos del Olmo

In this work, a data acquisition approach for the inverse problem in electrocardiography using a low cost wireless acquisition system is presented. Obtaining an image of the electrical activity on the heart surface is important in the study and diagnosis of heart disease. In addition, an introduction to the mathematical problem is presented describing two regularization methods: the Tikhonov me...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه سیستان و بلوچستان - دانشکده برق و کامپیوتر 1392

abstract nowadaysphotovoltaic solar cells (pvs) areacknowledged the fastest growing energy technology in the word, however, they only account for only fraction of current global renewable energy capacity. it isrecognized that this incomplete market penetration has been largely a result of the technology’sexcessive cost. so researchers are trying to find innovative, economic way with theaim of ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - پژوهشگاه مواد و انرژی - پژوهشکده سرامیک 1392

thermal barrier coatings (tbcs) are used to provide thermal insulation to the hot section components of gas turbines in order to enhance the operating temperature and turbine efficiency. hot corrosion and thermal shocks are the main destructive factors in tbcs which comes as a result of oxygen and molten salt diffusion into the coating. in this thesis atmospheric plasma spraying was used to dep...

Information extraction (IE) is a process of automatically providing a structured representation from an unstructured or semi-structured text. It is a long-standing challenge in natural language processing (NLP) which has been intensified by the increased volume of information and heterogeneity, and non-structured form of it. One of the core information extraction tasks is relation extraction wh...

This study deals with the effects of a supply chain (SC) with single product, multiple retailers and a manufacturer, where the manufacturer(he) produces lotsize of the product that contains a random portion of imperfect quality item. The imperfect quality products are sold in a secondary shop. The new contribution of this paper is a new non-linear demand function. Demand of the end customers va...

2016
S. P. Maurya P. Sarkar

Seismic Inversion methods have been routinely used for estimating attributes like P-impedance, Simpedance, density, ratio of P-wave and S-wave velocity and elastic impedances from seismic and well log data. These attributes help to understand lithology and fluid contents in the subsurface. The objective of this research is to use several standard seismic post-stack inversion methods for reservo...

2010
Wenjun Dou Guang Dai Congfu Xu Zhihua Zhang

Principal component analysis (PCA) and its dual—principal coordinate analysis (PCO)—are widely applied to unsupervised dimensionality reduction. In this paper, we show that PCA and PCO can be carried out under regression frameworks. Thus, it is convenient to incorporate sparse techniques into the regression frameworks. In particular, we propose a sparse PCA model and a sparse PCO model. The for...

Journal: :IEEE Transactions on Pattern Analysis and Machine Intelligence 2005

1998
Jau-Yuen Chen Charles A. Bouman John C. Dalton

The advent of large image databases (>10,000) has created a need for tools which can search and organize images automatically by their content. This paper presents a method for designing a hierarchical browsing environment which we call a similarity pyramid. The similarity pyramid groups similar images together while allowing users to view the database at varying levels of resolution. We show t...

2007
Piotr Indyk Venkat Chandar

consider the case where x is has exactly k + 1 nonzero entries. Then, Errk(x) = Err 2 k(x) = x (k+1), where x(k+1) represents the smallest of the k + 1 nonzero entries in x. Thus, the formula above implies that for such x, the LP finds an x∗ that is better than the best k-sparse approximation, so clearly x∗ cannot be k-sparse. In practice, it is often not important that x∗ be k-sparse. For exam...

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