Results 31 to 40 of about 52,386 (322)
KLASIFIKASI EKSPRESI WAJAH MENGGUNAKAN BAG OF VISUAL WORDS [PDF]
, 2018 Pada hakikatnya, manusia dapat membedakan pola terhadap suatu objek berdasarkan bentuk visual yang mengandung keadaan emosional. Seperti membedakan ekspresi wajah seseorang pada suatu citra.
Muhathir, Muhathir
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A Comparative Study for Arabic Text Classification Based on BOW and Mixed Words Representations [PDF]
IJCI International Journal of Computers and Information, 2016 This paper compares two methods for features representation in Arabic text classification. These methods are bag of words (BOW) that mean the word-level unigram and mixed words representations.
Mahmoud Hussien +2 more
doaj +1 more source
Balinese Mask Characters Classification using Bag of Visual Words Model
Journal of Electrical, Electronics and Informatics, 2021 Mask, often known by Balinese as “Tapel”, is made of pule wood. It depicts the representation of characters in the “badbad” or legend. Bali has many types of mask dances that are often performed, which makes tourists interested in visiting Bali ...
Komang Budiarta +2 more
doaj +1 more source
Learning Word Importance with the Neural Bag-of-Words Model [PDF]
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016 The Neural Bag-of-Words (NBOW) modelperforms classification with an average ofthe input word vectors and achieves an impressiveperformance. While the NBOWmodel learns word vectors targeted forthe classification task it does not explicitlymodel which words are important forgiven task.
Imran A. Sheikh +3 more
openaire +2 more sources
Leaf Vocabulary: Fine-Grained Leaf Image Retrieval Using Bag-of-Visual-Words Representation
, 2022 This paper addresses the issue of fine-grained leaf image retrieval (FGLIR) which focuses on differentiating between different leaf cultivars within the same species. We investigate a novel bag-of-visual-words approaches (BoVW) to FGLIR.
Gao, Y, Wang, B, Chen, X
core +1 more source
Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study
North American Chapter of the Association for Computational Linguistics, 2021 Sequential information, a.k.a., orders, is assumed to be essential for processing a sequence with recurrent neural network or convolutional neural network based encoders. However, is it possible to encode natural languages without orders?
Chongyang Tao +5 more
semanticscholar +1 more source
Emotion Recognition from Speech Using the Bag-of-Visual Words on Audio Segment Spectrograms
Technologies, 2019 It is noteworthy nowadays that monitoring and understanding a human’s emotional state plays a key role in the current and forthcoming computational technologies.
Evaggelos Spyrou +3 more
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Feature Selection for Location Metonymy Using Augmented Bag-of-Words
IEEE Access, 2022 Location metonymy resolution is a study that deals with locations being used in a non-literal way that create problems in several natural language processing tasks such as Named entity recognition and Geographical parsing.
Muhammad Elyas Meguellati +4 more
doaj +1 more source
Defect Recognition in Radioscopic Image Sequences based on Bag-of-Words
Journal of Physics: Conference Series, 2021 Digital X-ray real-time imaging is a new technology in non-destructive detection using image sequences. At present, manual identification of defects is mainly used in practice, which is expertise-dependent and prone to errors.
Fan Chang, Fumin Chen, Kaixuan Tang
semanticscholar +1 more source
An enhanced method for human action recognition
Journal of Advanced Research, 2015 This paper presents a fast and simple method for human action recognition. The proposed technique relies on detecting interest points using SIFT (scale invariant feature transform) from each frame of the video.
Mona M. Moussa +3 more
doaj +1 more source