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Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
Bag-of-Words (BoW) is one of the important techniques for activity recognition. Instead of dividing a continuous sensor streams into sliding windows with fixed time duration, it builds activity recognition models using histograms of primitive motion symbols.
Ming Zeng +5 more
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Bag-of-Words (BoW) is one of the important techniques for activity recognition. Instead of dividing a continuous sensor streams into sliding windows with fixed time duration, it builds activity recognition models using histograms of primitive motion symbols.
Ming Zeng +5 more
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Motor Fault Diagnosis Using Image Visual Information and Bag of Words Model
IEEE Sensors Journal, 2021In order to solve the tough issue that is difficult to extract the representative fault features of the hybrid vibration signals from the various industrial applications, a motor fault diagnosis method based on image visual information and bag of words ...
Zhuo Long +5 more
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Proceedings of the 21st ACM international conference on Multimedia, 2013
Due to the semantic gap, the low-level features are not able to semantically represent images well. Besides, traditional semantic related image representation may not be able to cope with large inter class variations and are not very robust to noise.
Chunjie Zhang +6 more
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Due to the semantic gap, the low-level features are not able to semantically represent images well. Besides, traditional semantic related image representation may not be able to cope with large inter class variations and are not very robust to noise.
Chunjie Zhang +6 more
openaire +1 more source
Real-time bag of words, approximately
Proceedings of the ACM International Conference on Image and Video Retrieval, 2009We 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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Context Dependent Bag of words generation
2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013Query spelling correction is a crucial component in modern text mining systems such as Question-answering systems and Sentiment Analysis systems where noise can affect the query matching score. In many existing query matching systems Bag of Words (BoW) generation method is used to generate candidates for noisy words.
Swapnil Ashok Jadhav +4 more
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Comparing Bag-of-Words, SBERT, and GPT-3 for Bias Detection
Journal of student-scientists' researchThis project aims to detect bias in media by training a machine learning model to recognize biased sentences. We did this by using a dataset containing 3700 sentences each annotated by multiple experts.
Max Luo, Clayton Greenberg
semanticscholar +1 more source
ACM SIGIR Forum, 2008
Current state of the art information retrieval models treat documents and queries as bags of words. There have been many attempts to go beyond this simple representation. Unfortunately, few have shown consistent improvements in retrieval effectiveness across a wide range of tasks and data sets.
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Current state of the art information retrieval models treat documents and queries as bags of words. There have been many attempts to go beyond this simple representation. Unfortunately, few have shown consistent improvements in retrieval effectiveness across a wide range of tasks and data sets.
openaire +1 more source
Contextual Bag-of-Words for Robust Visual Tracking
IEEE Transactions on Image Processing, 2018An appearance model is critical for most modern trackers. While numerous novel appearance models have been proposed with demonstrated success, challenges such as occlusion and drifting are still not well addressed. In this paper, we propose a novel contextual bag-of-words (CBOW) discriminative appearance model that appropriately handles drifting and ...
Fanxiang Zeng +2 more
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Verdict Prediction for Indian Courts Using Bag of Words and Convolutional Neural Network
2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT), 2020All courts in India publish judgment by statistically analyzing the data of different cases and understanding the verdict from precedents judgments and the statute law.
V. Pillai, L. R. Chandran
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Photo Context as a Bag of Words
2008 Tenth IEEE International Symposium on Multimedia, 2008In the recent years, photo context metadata (e.g.,date, GPS coordinates) have been proved to be useful in the management of personal photos. However, these metadata are still poorly considered in photo retrieving systems. In order to overcome this limitation, we propose an approach to incorporate contextual metadata in a keyword-based photo retrieval ...
Windson Viana +4 more
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