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SIMILARITY AMONG MULTIPLE GEOGRAPHIC REPRESENTATIONS
Multiple Representation Information Integration Dataset ambiguity
2016/2/29
A key ingredient of systems aiming to cope with multiple representations of geographic features is some method for assessing the
correspondence and similarity of such representations. In other words,...
Measuring Semantic Similarity by Latent Relational Analysis
analogies semantic relations vector space model noun-modifier expressions latent relational analysis
2015/7/31
This paper introduces Latent Relational Analysis (LRA), a method for measuring semantic similarity. LRA measures similarity in the semantic relations between two pairs of words. When two pairs have a ...
Cosine Similarity Scoring without Score Normalization Techniques
Cosine Similarity Scoring Score Normalization Techniques
2014/11/27
In recent work [1], a simplified and highly effective approach to speaker recognition based on the cosine similarity between lowdimensional vectors, termed ivectors, defined in a total variability spa...
Prototypicality Gradient and Similarity Measure: A Semiotic-Based Approach Dedicated to Ontology Personalization
Semantic Measure Conceptual Prototypicality Lexical Prototypicality Gradient Ontology Personalization Semiotics
2013/1/28
This paper introduces a new approach dedicated to the Ontology Personalization. Inspired by works in Cognitive Psychology, our work is based on a process which aims at capturing the user-sensitive rel...
A New Method for Calculating Similarity between Sentences and Application on Automatic Abstracting
sentence similarity automatic abstracting lexrank sentence-weight computing redundancy resolution
2013/1/29
Sentence similarity computing plays an important role in machine question-answering systems, machine-translation systems, information retrieval and automatic abstracting systems. This article firstly ...
Self-Similarity and Internet Performance
Long Range Dependence (LRD) Quality of service (QoS) Voice over Internet Protocol (VoIP) Round Trip Time (RTT)
2014/3/12
In this work, it has been demonstrated through experiments that Long Range Dependence (LRD) in internet traffic is indeed affecting the queueing performance. Queueing performance is being degraded as ...
The k-nearest neighbours (kNN) is a simple but effective method for classification. Its major drawbacks are (1) low efficiency, and (2) dependency on the selection of a “good value” for k. In this pap...