نتایج جستجو برای: cooperative dictionary use strategy
تعداد نتایج: 2089286 فیلتر نتایج به سال:
The Papillon project is a collaborative project to establish a multilingual dictionary on the Web. This project started 4 years ago with French and Japanese. The partners are now also working on English, Chinese, Lao, Malay, Thai and Vietnamese. It aims to apply the LINUX cooperative construction paradigm to establish a broadcoverage multilingual dictionary. Users can contribute directly on the...
The Joint Bi-Level Expert Group (JBIG), an international study group affiliated with the ISO/IEC and ITU-T, has recently completed a committee draft of the JBIG2 standard for lossy and lossless bi-level image compression. JBIG2 encoder designers will have to choose from a wide variety of strategies and bitstream parameters to make their encoders efficient and competitive. In this paper, we stud...
plagiarism in esl/efl learning contexts has been established as a dynamic and multi-layered phenomenon and has become a topic engaging many researchers in a heated debate in recent years. comparisons of student-generated texts with their source texts have shown that students rely on source texts in their writings and copying is a major strategy used by both l1 and l2 writers. in our country a...
We consider the problem of distributed dictionary learning, where a set of nodes is required to collectively learn a common dictionary from noisy measurements. This approach may be useful in several contexts including sensor networks. Diffusion cooperation schemes have been proposed to solve the distributed linear regression problem. In this work we focus on a diffusion-based adaptive dictionar...
The JBIG2 standard is a very flexible bi-level image coding strategy based on pattern matching. The encoder collects a set of symbols in a dictionary and encodes a page by reference to the dictionary symbols. JBIG2 allows the encoder to view all symbols and choose a good set for the dictionary. In this paper, we examine the bit rate trade-off that arises in choosing different dictionary sizes. ...
In this paper, a new method for image denoising based on incoherent dictionary learning and domain transfer technique is proposed. The idea of using sparse representation concept is one of the most interesting areas for researchers. The goal of sparse coding is to approximately model the input data as a weighted linear combination of a small number of basis vectors. Two characteristics should b...
The CETA (Chinese-English Translation Assistance) Group is an independent organization formed to coordinate development of Chinese to English translation aids and data analysis techniques. It began as an ad hoc body of individuals Library of Congress. Extension of interest into the scholarly community has broadened academic dimensions to include 43 US and international universities. CETA is dev...
the aim of the current study was to investigate the relationship among efl learners learning style preferences, use of language learning strategies, and autonomy. a total of 148 male and female learners, between the ages of 18 and 30, majoring in english literature and english translation at islamic azad university, central tehran were randomly selected. a package of three questionnaires was ad...
ÐThe data compression based on dictionary techniques works by replacing phrases in the input string with indexes into some dictionary. The dictionary can be static or dynamic. In static dictionary compression, the dictionary contains a predetermined fixed set of entries. In dynamic dictionary compression, the dictionary changes its entries during compression. We present parallel algorithms for ...
We discuss representations of pre x codes and the corresponding storage space and decoding time requirements. We assume that a dictionary of words to be encoded has been de ned and that a pre x code appropriate to the dictionary has been constructed. The encoding operation becomes simple given these assumptions and given an appropriate parsing strategy, therefore we concentrate on decoding. The...
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