Spectral or spatial dictionary has been widely used in fusing low-spatial-resolution hyperspectral (LH) images and high-spatial-resolution multispectral (HM) images. However, only using spectral ...dictionary is insufficient for preserving spatial information, and vice versa. To address this problem, a new LH and HM image fusion method termed OTD using optimized twin dictionaries is proposed in this paper. The fusion problem of OTD is formulated analytically in the framework of sparse representation, as an optimization of twin spectral-spatial dictionaries and their corresponding sparse coefficients. More specifically, the spectral dictionary representing the generalized spectrums and its spectral sparse coefficients are optimized by utilizing the observed LH and HM images in the spectral domain; and the spatial dictionary representing the spatial information and its spatial sparse coefficients are optimized by modeling the rest of high-frequency information in the spatial domain. In addition, without non-negative constraints, the alternating direction methods of multipliers (ADMM) are employed to implement the above optimization process. Comparison results with the related state-of-the-art fusion methods on various datasets demonstrate that our proposed OTD method achieves a better fusion performance in both spatial and spectral domains.
The Historical Dictionary of the British Empire covers its history through a chronology, an introductory essay, appendixes, and an extensive bibliography. The dictionary section has over 700 ...cross-referenced entries on important personalities, politics, economy, foreign relations, religion, and culture.
Salient object detection is an increasingly popular topic in the computer vision field, particularly for images with complex backgrounds and diverse object parts. Background information is an ...essential factor in detecting salient objects. This paper suggests a robust and effective methodology for salient object detection. This method involves two main stages. The first stage is to produce a saliency detection map based on the dense and sparse reconstruction of image regions using a refined background dictionary. The refined background dictionary uses a boundary conductivity measurement to exclude salient object regions near the image's boundary from a background dictionary. In the second stage, the CascadePSP network is integrated to refine and correct the local boundaries of the saliency mask to highlight saliency objects more uniformly. Using six evaluation indexes, experimental outcomes conducted on three datasets show that the proposed approach performs effectively compared to the state-of-the-art methods in salient object detection, particularly in identifying the challenging salient objects located near the image's boundary. These results demonstrate the potential of the proposed framework for various computer vision applications.
Abstract
Lexonomy is a platform which is an open source for writing and publishing dictionaries. Pali Lexicography is actually a dictionary created by using Lexonomy, which is a web based tool for ...creating dictionaries. Since a dictionary is a means of understanding any language and its translation, the present work is about Pali Lexicography. It is a project that has been created using simple XML tags and technical skills without any cost. In this, word mapping is done using selected words that are chosen from the set of Pali Language which are also present in the Marathi Language set having almost similar meaning in Marathi Language. All the Pali words have their English meaning which are automatically sorted generating the Lexicographic order. Pali dictionary is created with a simple user interface and is easily operable.
Einleitung1 Wenn man in einem Wörterbuch wie dem OLD das Präfix re- als Lemma2 nachschlägt, sieht man, dass es viele, zum Teil anscheinend unzusammenhängende Bedeutungen haben kann: "denoting ...movement back or in reverse (redeo, reuerto, reuoco), withdrawal (recondo, religo, reticeo), reversal of a previous process (refrigero, resoluo, retego), restoration (renouo, reualesco), response or opposition (rebello, redarguo, respondeo), separation (remoueo), repeated action (repeto, repleo)". CIC. opt. gen. 19 Demosthenes curator muris reficiendis fuit eosque refecit pecunia sua. Haverling, G. (2000): On SCO-verbs, prefixes and semantic functions; a study in the development of prefixed and unprefixed verbs from early to late Latin, Göteborg. Volpe, A. della (1996): On the Productivity of the Re- Prefix in English, Lacus Forum, 23, 399-407.
Building on Goldman's Words of Intelligence and Maret's On Their Own Terms, this is a one-stop reference tool for those who study and work in intelligence, security and information policy. This ...comprehensive resource defines key terms of the theoretical, conceptual and organizational aspects of intelligence and national security information policy.
Age progression is defined as aesthetically re-rendering the aging face at any future age for an individual face. In this work, we aim to automatically render aging faces in a personalized way. ...Basically, for each age group, we learn an aging dictionary to reveal its aging characteristics (e.g., wrinkles), where the dictionary bases corresponding to the same index yet from two neighboring aging dictionaries form a particular aging pattern cross these two age groups, and a linear combination of all these patterns expresses a particular personalized aging process. Moreover, two factors are taken into consideration in the dictionary learning process. First, beyond the aging dictionaries, each person may have extra personalized facial characteristics, e.g., mole, which are invariant in the aging process. Second, it is challenging or even impossible to collect faces of all age groups for a particular person, yet much easier and more practical to get face pairs from neighboring age groups. To this end, we propose a novel Bi-level Dictionary Learning based Personalized Age Progression (BDL-PAP) method. Here, bi-level dictionary learning is formulated to learn the aging dictionaries based on face pairs from neighboring age groups. Extensive experiments well demonstrate the advantages of the proposed BDL-PAP over other state-of-the-arts in term of personalized age progression, as well as the performance gain for cross-age face verification by synthesizing aging faces.
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