Non-Probabilistic Cosine Similarity Loss for Few-Shot Image Classification
, 2020 A few-shot image classification problem aims to recognize previously unseen objects with a small amount of data. Many works have been offered to solve the problem, while a simple transfer learning method with the cosine similarity based cross-entropy ...
Kim, Jun Hyuk +3 more
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Movie recommendation app with cosine similarity and flask [PDF]
MATEC Web of ConferencesPeople are constantly busy with their professions, businesses, and other endeavours in the world in which we currently live. The majority of them find that watching movies is the greatest way to unwind during the limited free time they have between jobs.
Vedhavyas P. +3 more
doaj +1 more source
Implementation of Cosine Similarity in an automatic classifier for comments
JISKA (Jurnal Informatika Sunan Kalijaga), 2019 Classification of text with a large amount is needed to extract the information contained in it. Student comments containing suggestions and criticisms about the lecturer and the lecture process on the learning evaluation system are not well classified, resulting in a difficult assessment process.
openaire +3 more sources
Image Recommendation Based on ANOVA Cosine Similarity
, 2016 Online shopping is very popular and has grown exponentially due to revolution in digitization. It is a fundamental requirement of all the search engines to provide recommendation to identify user preferences.
Ganeshsingh, T. +9 more
core +1 more source
Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity
, 2017 Cosegmentation jointly segments the common objects from multiple images. In this paper, a novel clustering algorithm, called Saliency-Guided Constrained Clustering approach with Cosine similarity (SGC3), is proposed for the image cosegmentation task ...
Tao, Zhiqiang +7 more
core +1 more source
PERBANDINGAN ALGORITMA COSINE SIMILARITY DAN CONFIDENCE PADA SISTEM REKOMENDASI DENGAN METODE ITEM BASED COLLABORATIVE FILTERING [PDF]
, 2013 Recommendation system is a method of information filtering using data analysis technic to help users finds the desired items. One of the method which used in recommendation system is item-based collaborative filtering.
Prasetyo, Sigit Angga
core
Variance-Adjusted Cosine Distance as Similarity Metric
CoRRCosine similarity is a popular distance measure that measures the similarity between two vectors in the inner product space. It is widely used in many data classification algorithms like K-Nearest Neighbors, Clustering etc. This study demonstrates limitations of application of cosine similarity.
Satyajeet Sahoo, Jhareswar Maiti
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BLINK enables ultrafast tandem mass spectrometry cosine similarity scoring. [PDF]
Sci Rep, 2023 Harwood TV +5 more
europepmc +1 more source
Word embedding for contextual similarity using cosine similarity
Indonesian Journal of Electrical Engineering and Computer SciencePerspectives on technology often have similarities in certain contexts, such as information systems and informatics engineering. The source of opinion data comes from the Quora application, with a retrieval limit of the last 5 years. This research aims to implement Indo-bidirectional encoder representations from transformers (BERT), a variant of the ...
Yessy Asri +3 more
openaire +2 more sources
DETEKSI PLAGIAT TESIS BERBAHASA INDONESIA MENGGUNAKAN METODE COSINE SIMILARITY [PDF]
This research aims to test the performance of the Cosine Similarity method in comparison with the Jaccard Similarity method and to obtain the percentage of similarity. Sample data is obtained from students' data at Budi Luhur campus.
Listyaningsih, Endang Palupi +2 more
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