نتایج جستجو برای: many

تعداد نتایج: 951424  

Journal: :CoRR 2013
Fatemeh Rajabi-Alni

Let A = {a1, a2, . . . , as} and {b1, b2, . . . , bt} with s+r = n, the many to many point matching with demands and capacities matches each point ai ∈ A to at least αi and at most α ′ i points in B, and each point bj ∈ B to at least βj and at most β ′j points in A for all 1 ≤ i ≤ s and 1 ≤ j ≤ t. In this paper, we present an O(n) time and O(n) space algorithm for this problem.

2015
Sanjay Ranka Ravi V. Shankar Khaled A. Alsabti

2015
Amanda Pogue Chigusa Kurumada Michael K. Tanenhaus

To navigate many-to-many mappings between referents and linguistic expressions, listeners need to calibrate likelihood estimates for different referential expressions taking into account both the context and speaker-specific variation. Focusing on speaker variation, we present three experiments. Experiment 1 establishes that listeners generalize speakerspecific patterns of pre-nominal modificat...

2006
Ali Shokoufandeh Yakov Keselman M. Fatih Demirci Diego Macrini Sven J. Dickinson

One of the bottlenecks of current recognition (and graph matching) systems is their assumption of one-to-one feature (node) correspondence. This assumption breaks down in the generic object recognition task where, for example, a collection of features at one scale (in one image) may correspond to a single feature at a coarser scale (in the second image). Generic object recognition therefore req...

2007
Youssef Bououlid Idrissi Julie Vachon

Semantic matching is a fundamental step in implementing data sharing applications. Most systems automating this task however limit themselves to finding simple (one-to-one) matching. In fact, complex (many-to-many) matching raises a far more difficult problem as the search space of concept combinations is often very large. This article presents Indigo, a system discovering complex matching in t...

1995
Leila Kosseim Guy Lapalme

In this paper, we address the problem of planning the textual organization of instructions. We take the view that natural language generation (NLG) is a mapping process of diierent levels of conceptual and textual representations. Within this framework , we consider the mapping between the text's semantic representation and its rhetorical structure. We argue that such a mapping is not direct, b...

Journal: :Discrete Mathematics 2016
Hyeong-Seok Lim Hee-Chul Kim Jung-Heum Park

A many-to-many k-disjoint path cover of a graph joining two disjoint vertex subsets S and T of equal size k is a set of k vertex-disjoint paths between S and T that altogether cover every vertex of the graph. It is classified as paired if each source in S is required to be paired with a specific sink in T , or unpaired otherwise. In this paper, we develop Ore-type sufficient conditions for the ...

2014
Manuela Sanguinetti Cristina Bosco Loredana Cupi

This paper aims to introduce the issues related to the syntactic alignment of a dependency-based multilingual parallel treebank, ParTUT. Our approach to the task starts from a lexical mapping and then attempts to expand it using dependency relations. In developing the system, however, we realized that the only dependency relations between the individual nodes were not sufficient to overcome som...

2011
Mike Tian-Jian Jiang Chan-Hung Kuo Wen-Lian Hsu

This work presents a grapheme-based approach of English-to-Chinese (E2C) transliteration, which consists of many-to-many (M2M) alignment and conditional random fields (CRF) using accessor variety (AV) as an additional feature to approximate local context of source graphemes. Experiment results show that the AV of a given English named entity generally improves effectiveness of E2C transliteration.

2005
K. Selçuk Candan Jong Wook Kim Huan Liu Reshma Suvarna Nitin Agarwal

The functioning of a multimodal integration system requires metadata, such as ontologies, that describe media resources and media components. Such metadata are generally application and domain dependent, which causes difficulties when media need to be shared across domains. Thus, there is a need for a mechanism that can relate the key terms and/or media components in data from different sources...

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