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On visual vocabulary size in SVM classification
2016 IEEE International Conference on Industrial Technology (ICIT), 2016Codebook has been shown to be an effective image representation method. In this method, discriminative local features, e.g., SIFT, are extracted from images and then pooled together. All these local features are then clustered and the centers of all the clusters form a codebook. By counting the distribution of local features on these codes, we obtain a
Wei-Xue Liu +3 more
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Effect of screen size on multimedia vocabulary learning
British Journal of Educational Technology, 2010Abstract The objective of this study was to investigate the effects of three different screen sizes (small, medium and large) and two types of multimedia instruction (text only and text with pictorial annotation) on vocabulary learning.
Daesang Kim, Dong-Joong Kim
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Vocabulary size and its effect on topic representation
Information Processing & Management, 2017The impact of vocabulary reduction on topic modeling is explored for three data sets.Results are compared using four document and topic-centered measures.Removal of singly occurring terms has minimal influence on topics.Removal of frequently occurring terms greatly influences topic outcomes for three measures.
Kun Lu 0001 +3 more
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Measuring Recognition Vocabulary Size
2017This chapter describes two approaches to measuring recognition vocabulary size, the Vocabulary Levels Test/Vocabulary Size Test approach and the Yes/No Test approach. The respective test formats and their uses are described. The formats are then compared as potential measures of lexical facility.
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On Vocabulary Size in Bag-of-Visual-Words Representation
2010Bag-of-visual-words is a popular image representation that produces high matching accuracy and efficiency. While vocabulary size impacts on matching accuracy, existing research usually selects the vocabulary size empirically. Research on representative local descriptors shows that with similarity based clustering, the intra-cluster similarity extent of
Jian Hou 0001, Jianxin Kang, Naiming Qi
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Reducing Vocabulary Size in Human Action Classification
2012Human action classification is an important task in computer vision. Bag-of-Words using spatio-temporal features and some classification algorithm is one of the most successful methods in this context. In this work we have studied the effect of reducing the vocabulary size using a video word ranking method.
Julián Ramos Cózar +4 more
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Measures of Vocabulary Size and Vocabulary Acquisition
2015Zadanie pt. Digitalizacja i udostępnienie w Cyfrowym Repozytorium Uniwersytetu Łódzkiego kolekcji czasopism naukowych wydawanych przez Uniwersytet Łódzki nr 885/P-DUN/2014 zostało dofinansowane ze środków MNiSW w ramach działalności upowszechniającej ...
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Statistical Estimate for the Size of the Protein Structural Vocabulary
2007The concept of structural clusters defining the vocabulary of protein structure is one of the central concepts in the modern theory of protein folding. Typically clusters are found by a variation of the K-means or K-NN algorithm. In this paper we study approaches to estimating the number of clusters in data.
Xuezheng Fu +3 more
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