Results 41 to 50 of about 52,386 (322)
Instant Bag-of-Words served on a laptop
Proceedings of the 1st ACM International Conference on Multimedia Retrieval, 2011 This demo showcases our realtime implementation of conceptclassification using the Bag-of-Words method embeddedwithin MediaTable, our interactive categorization toolfor large multimedia collections. MediaTable allows the usersto open images from disk or download these directly fromthe internet. Each image is then processed using the Bagof-Words method,
J.R.R. Uijlings +4 more
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The Influence of Order on a Large Bag of Words [PDF]
2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008 Text classification has been mostly performed through implicit semantic correlation techniques, such as latent semantic analysis. This approach however, has proved insufficient for situations where there are short texts to be classified into one or more from many classes.
Charles B. do Prado +3 more
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The Influence of Feature Representation of Text on the Performance of Document Classification
Applied Sciences, 2019 In this paper we perform a comparative analysis of three models for a feature representation of text documents in the context of document classification.
Sanda Martinčić-Ipšić +2 more
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Real-time bag of words, approximately
Proceedings of the ACM International Conference on Image and Video Retrieval, 2009 We start from the state-of-the-art Bag of Words pipeline that in the 2008 benchmarks of TRECvid and PASCAL yielded the best performance scores. We have contributed to that pipeline, which now forms the basis to compare various fast alternatives for all of its components: (i) For descriptor extraction we propose a fast algorithm to densely sample SIFT ...
Uijlings, J.R.R. +2 more
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Semantic Enhanced Distantly Supervised Relation Extraction via Graph Attention Network
Information, 2020 Distantly Supervised relation extraction methods can automatically extract the relation between entity pairs, which are essential for the construction of a knowledge graph.
Xiaoye Ouyang, Shudong Chen, Rong Wang
doaj +1 more source
Paraphrase Generation with Latent Bag of Words
CoRR, 2020 Paraphrase generation is a longstanding important problem in natural language processing. In addition, recent progress in deep generative models has shown promising results on discrete latent variables for text generation. Inspired by variational autoencoders with discrete latent structures, in this work, we propose a latent bag of words (BOW) model ...
Yao Fu +2 more
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Improving Bag-of-Words model with spatial information
, 2010 Bag-of-Words (BOW) models have recently become popular for the task of object recognition, owing to their good performance and simplicity. Much work has been proposed over the years to improve the BOW model, where the Spatial Pyramid Matching technique ...
Zhang, Edmond Yiwen +3 more
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Evaluating Bag-of-Visual-Words Representations in Scene Classification [PDF]
, 2007 Based on keypoints extracted as salient image patches, an image can be described as a "bag of visual words" and this representation has been used in scene classification.
Yu-Gang Jiang +11 more
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Investigating the Bag-of-Words Method for 3D Shape Retrieval
EURASIP Journal on Advances in Signal Processing, 2010 This paper investigates the capabilities of the Bag-of-Words (BWs) method in the 3D shape retrieval field. The contributions of this paper are (1) the 3D shape retrieval task is categorized from different points of view: specific versus generic, partial ...
Afzal Godil, Xiaolan Li
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What Is Not in the Bag of Words for Why-QA? [PDF]
Computational Linguistics, 2010 While developing an approach to why-QA, we extended a passage retrieval system that uses off-the-shelf retrieval technology with a re-ranking step incorporating structural information. We get significantly higher scores in terms of MRR@150 (from 0.25 to 0.34) and success@10.
Verberne, S. +4 more
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