Results 11 to 20 of about 57,862 (263)
The M-Space Feature Representation for SLAM
IEEE Transactions on Robotics, 2007 In this paper, a new feature representation for simultaneous localization and mapping (SLAM) is discussed. The representation addresses feature symmetries and constraints explicitly to make the basic model numerically robust. In previous SLAM work, complete initialization of features is typically performed prior to introduction of a new feature into ...
John Folkesson +2 more
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feature-representation-for-LLMs
, 2023 This is a database for feature representation of ESM2, which includes Swiss data, Swiss normalized data, original TrEMBL data, original TrEMBL normalized data, non-homology TrEMBL data and Table S10.Non-homologous TrEMBL normalized data can be created by
yujuan zhang (17148661) +2 more
core +1 more source
EnACP: An Ensemble Learning Model for Identification of Anticancer Peptides
Frontiers in Genetics, 2020 As cancer remains one of the main threats of human life, developing efficient cancer treatments is urgent. Anticancer peptides, which could overcome the significant side effects and poor results of traditional cancer treatments, have become a new ...
Ruiquan Ge +5 more
doaj +1 more source
Prediction of Plant Resistance Proteins Based on Pairwise Energy Content and Stacking Framework
Frontiers in Plant Science, 2022 Plant resistance proteins (R proteins) recognize effector proteins secreted by pathogenic microorganisms and trigger an immune response against pathogenic microbial infestation.
Yifan Chen, Zejun Li, Zhiyong Li
doaj +1 more source
Statistical summary representations of bound features [PDF]
Attention, Perception, & Psychophysics, 2020 The visual system can efficiently summarize various lower-level and higher-level features of ensembles. However, no research to date has directly investigated how different features interact with each other within a single summary and whether people can efficiently report an integrated summary of two feature dimensions. In the first two experiments, we
Boduroglu, Aysecan, Yildirim, Irem
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RTIDS: A Robust Transformer-Based Approach for Intrusion Detection System
IEEE Access, 2022 Due to the rapid growth in network traffic and increasing security threats, Intrusion Detection Systems (IDS) have become increasingly critical in the field of cyber security for providing secure communications against cyber adversaries.
Zihan Wu +3 more
doaj +1 more source
Ontological Representation of Audio Features [PDF]
, 2016 Feature extraction algorithms in Music Informatics aim at deriving statistical and semantic information directly from audio signals. These may be ranging from energies in several frequency bands to musical information such as key, chords or rhythm.
Alo Allik +2 more
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Adaptive feature representation for visual tracking [PDF]
2017 IEEE International Conference on Image Processing (ICIP), 2017 Robust feature representation plays significant role in visual tracking. However, it remains a challenging issue, since many factors may affect the experimental performance. The existing method which combine different features by setting them equally with the fixed weight could hardly solve the issues, due to the different statistical properties of ...
Yuqi Han +4 more
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An Ontology for Submarine Feature Representation on Charts [PDF]
, 2013 A landform is a subjective individuation of a part of a terrain. Landform recognition is a difficult task because its definition usually relies on a qualitative and fuzzy description.
YAN, Jingya +5 more
core +1 more source
Sentiment Analysis of Tweets Using Supervised Machine Learning Techniques Based on Term Frequency [PDF]
Journal of Information Technology Management, 2021 World of technology provides everyone with a great outlet to give their opinion, using social media like Twitter and other platforms. This paper employs machine learning methods for text analysis to obtain sentiments of reviews by the people on twitter ...
Deepti Aggarwal +5 more
doaj +1 more source