Results 251 to 260 of about 80,037 (309)
Some of the next articles are maybe not open access.
Bag-of-Words Similarity in eXplainable AI
2022eXplainable AI (XAI) does not only lie in the interpretation of the rules generated by AI systems, but also in the evaluation and selection, among many rules automatically generated by large datasets, of those that are more relevant and meaningful for domain experts.
Narteni S +3 more
openaire +2 more sources
A Modified Bag-of-Words Representation for Industrial Alarm Floods*
International Symposium on Advanced Control of Industrial Processes, 2022Alarm floods pose a serious threat to the safety of complex industrial plants by overloading an operator’s cognitive abilities with a large number of alarms in a short period of time.
Haniyeh Seyed Alinezhad +2 more
semanticscholar +1 more source
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
openaire +1 more source
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
openaire +1 more source
Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 2022
In this study, an autonomous underwater vehicle (AUV) detection technique was used as the background to investigate the target classification method for underwater visual images.
Tianchi Zhang, Qian Li, Xingyu Liu
semanticscholar +1 more source
In this study, an autonomous underwater vehicle (AUV) detection technique was used as the background to investigate the target classification method for underwater visual images.
Tianchi Zhang, Qian Li, Xingyu Liu
semanticscholar +1 more source
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
openaire +1 more source
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
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
semanticscholar +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
openaire +3 more sources
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
openaire +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.
openaire +1 more source
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
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