標(biāo)題: Titlebook: Probabilistic Indexing for Information Search and Retrieval in Large Collections of Handwritten Text; Alejandro Héctor Toselli,Joan Puigce [打印本頁(yè)] 作者: T-Lymphocyte 時(shí)間: 2025-3-21 17:22
書(shū)目名稱Probabilistic Indexing for Information Search and Retrieval in Large Collections of Handwritten Text Images影響因子(影響力)
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書(shū)目名稱Probabilistic Indexing for Information Search and Retrieval in Large Collections of Handwritten Text Images被引頻次
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書(shū)目名稱Probabilistic Indexing for Information Search and Retrieval in Large Collections of Handwritten Text Images讀者反饋
書(shū)目名稱Probabilistic Indexing for Information Search and Retrieval in Large Collections of Handwritten Text Images讀者反饋學(xué)科排名
作者: 竊喜 時(shí)間: 2025-3-21 23:21
Book 2024amely hidden Markov models, convolutional and recurrent neural networks and language models, and provides full details of weighted finite-state transducer (WFST) concepts and methods, needed in further chapters of the book. Chapter 5 explains the set of techniques and algorithms developed to generat作者: Bricklayer 時(shí)間: 2025-3-22 03:53
Alejandro Héctor Toselli,Joan Puigcerver,Enrique Vidalmbiguous grammar and grammars of real programming languages. Our results, compared to the original GLL, show a speedup factor of 10 on the highly-ambiguous grammar, and a speedup factor of 1.5, 1.7, and 5.2 on the grammars of Java, C#, and OCaml, respectively.作者: 不適當(dāng) 時(shí)間: 2025-3-22 08:16 作者: preservative 時(shí)間: 2025-3-22 08:58 作者: 小步走路 時(shí)間: 2025-3-22 16:08 作者: Facet-Joints 時(shí)間: 2025-3-22 17:55
Alejandro Héctor Toselli,Joan Puigcerver,Enrique Vidal the register pressure constraints - either can be minimized while the other one is fixed. After scheduling, register allocation is done cyclically on conventional register sets or on rotating register files. We give an optimal exact model, and another approximative one that generalizes the Ning-Gao作者: 細(xì)菌等 時(shí)間: 2025-3-23 00:31 作者: BABY 時(shí)間: 2025-3-23 02:12
Alejandro Héctor Toselli,Joan Puigcerver,Enrique Vidalanswering those questions. It first introduces the concept of ., a direct extension of the traditional concept of reuse distance with data references by all co-running threads (or jobs) considered. It then discusses the properties of concurrent reuse distance, revealing the special challenges facing作者: Pamphlet 時(shí)間: 2025-3-23 07:39 作者: landmark 時(shí)間: 2025-3-23 10:10 作者: Gerontology 時(shí)間: 2025-3-23 16:57 作者: seruting 時(shí)間: 2025-3-23 19:35
Alejandro Héctor Toselli,Joan Puigcerver,Enrique Vidalking it into smaller pieces. We are not the first to study this problem. Bergner et al. describe a heuristic called . that reduces the amount of code needed to spill a live range [1]. Briggs experimented with an aggressive form of live range splitting; he saw mixed results [3, see Chapter 6]. This p作者: 奇思怪想 時(shí)間: 2025-3-24 01:48 作者: sleep-spindles 時(shí)間: 2025-3-24 06:07
1871-7500 s, and provides full details of weighted finite-state transducer (WFST) concepts and methods, needed in further chapters of the book. Chapter 5 explains the set of techniques and algorithms developed to generat978-3-031-55391-2978-3-031-55389-9Series ISSN 1871-7500 Series E-ISSN 2730-6836 作者: 最小 時(shí)間: 2025-3-24 06:50 作者: 口音在加重 時(shí)間: 2025-3-24 11:02
Empirical Validation of Probabilistic Indexing Methods,sessed in 6.10.1..9. Is the approach proposed in Sec. 3.6 to compute the RP for a query . (rather than a textual query) adequate to perform traditional QbE KWS? How does this approach fares with respect to other segmentation-free QbE KWS methods? This is studied in Sec. 6.10.2. 作者: oxidize 時(shí)間: 2025-3-24 18:35 作者: Notify 時(shí)間: 2025-3-24 20:25 作者: 不合 時(shí)間: 2025-3-25 00:05
Introduction,uations, as well algorithmic details that are seldom found in the literature. Probabilistic Indexing is closely related with ., which is also reviewed here, along with a comparison of the most important similarities and differences between both technologies.作者: FER 時(shí)間: 2025-3-25 06:24
Beyond Search Applications of Probabilistic Indexing,ly, we will present methods to use the PrIx of an image or an image collection to deal with tasks that traditionally require actual textual data such as electronic text.We will cover, in order, basic and advanced ., . and ..作者: 紡織品 時(shí)間: 2025-3-25 09:26 作者: dearth 時(shí)間: 2025-3-25 12:03 作者: alcoholism 時(shí)間: 2025-3-25 19:53
Probabilistic Indexing Search Extensions, the system (or human) uncertainty as to which pen strokes were actually used to depict some characters or words. In this chapter we consider in detail these and other related topics, from a mostly practical point of view which puts effectiveness and efficiency issues before perfect mathematical formulation or exactness of the equations.作者: 公豬 時(shí)間: 2025-3-25 20:08
Book 2024e collections of document images and other related applications. It fosters the development of new search engines for effective information retrieval from manuscripts which, however, lack the electronic text (transcripts) that would typically be required for such search and retrieval tasks.? ..The b作者: BILK 時(shí)間: 2025-3-26 01:54
Introduction,of the scientific areas upon which the rest of the book stands on. This includes . (IR), . (PR) and .. The chapter includes also a complete account of standard IR metrics, used in this book to assess the performance of the proposed Probabilistic Indexing models and methods. We provide the general eq作者: Initial 時(shí)間: 2025-3-26 07:58 作者: 憤慨點(diǎn)吧 時(shí)間: 2025-3-26 10:54 作者: Semblance 時(shí)間: 2025-3-26 14:14 作者: employor 時(shí)間: 2025-3-26 17:15 作者: critic 時(shí)間: 2025-3-26 22:27
Empirical Validation of Probabilistic Indexing Methods,rs, require empirical validation. This is the main purpose of this chapter. In particular, the most relevant questions that we aim to answer trough the experiments are:.1. As compared with the HTR-oriented formulation proposed in Sec. 3.4, how do the various lexicon-based image-processing-oriented p作者: 事物的方面 時(shí)間: 2025-3-27 03:25
Probabilistic Interpretation of Traditional KWS Approaches, are covered. In particular, we study schemes and techniques which have long been considered among the most successful. This includes QbE Distance- and PHOCbased methods, as well QbS HMM-Filler and BLSTM-CTC. Formal presentation and developments are accompanied by simple illustrative examples and/or作者: 斜坡 時(shí)間: 2025-3-27 09:09 作者: OTTER 時(shí)間: 2025-3-27 11:23
Beyond Search Applications of Probabilistic Indexing,hat result from the PrIx process are not image transcripts, but they provide very rich probabilistic information about the text rendered in the images and image regions or locations. This chapter presents approaches to exploit this information to go beyond information search applications. Specifical作者: creditor 時(shí)間: 2025-3-27 17:10
Large-scale Systems and Applications,fast and effective access to the textual contents of many important series of historical manuscripts. We cover in detail five of these systems, which support large series provided by the ., the ., the ., and the . (.). All these large-scale demonstrators are publicly available through the Internet a作者: Iatrogenic 時(shí)間: 2025-3-27 17:50
Conclusion and Outlook, can also be applied using the new, promising models for optical modeling in HTR which are gaining increasing popularity. Finally, we also suggest how the ideas proposed in this book could be applied to other domains, where images are not necessarily of handwritten text.
