Results 21 to 30 of about 258,677 (299)
Byte-Pair Encoding in the Task of Automated Audio Captioning [PDF]
, 2022 Automated audio captioning (AAC) methods largely use deep learning models where the captions are encoded with one-hot word encoding. One-hot word encoding treats each word as being equally similar to all other words.
Lipping, Samuel
core
SMILES Pair Encoding: A Data-Driven Substructure Tokenization Algorithm for Deep Learning
, 2020 SMILES-based deep learning models are slowly emerging as an important research topic in cheminformatics. In this study, we introduce SMILES Pair Encoding (SPE), a data-driven tokenization algorithm.
Xinhao, Li, Denis, Fourches
core +1 more source
A pixel pair–based encoding pattern for stereo matching via an adaptively weighted cost
IET Image Processing, 2021 Stereo matching, which is a key problem in computer vision, faces the challenge of radiometric distortions. Most of the existing stereo matching methods are based on simple matching cost algorithms and appear the problem of mismatch under radiometric ...
Yuli Fu +3 more
doaj +1 more source
Predicate encryption against master-key tampering attacks
Cybersecurity, 2019 Many real world attacks often target the implementation of a cryptographic scheme, rather than the algorithm itself, and a system designer has to consider new models that can capture these attacks.
Yuejun Liu, Rui Zhang, Yongbin Zhou
doaj +1 more source
Further genetic heterogeneity for autosomal dominant human sutural cataracts [PDF]
, 2003 A unique sutural cataract was observed in a 4-generation German family to be transmitted as an isolated autosomal, dominant trait. Since mutations in the gamma-crystallin encoding CRYG genes have previously been demonstrated to be the most frequent ...
Graw, Jochen +7 more
core +1 more source
International Review of Social Psychology, 2020 Cognitive load has been shown to reduce both Evaluative Conditioning (EC) effects and CS-US pairing memory. This suggests the successful encoding of CS-US pairings is required for eliciting EC effects.
Adrien Mierop +2 more
doaj +1 more source
, 2022 Our study considered the problem of classifying routine clinical EEG. We incorporated NLP tools into the workflow for time series classification. We transformed EEG signals into strings of symbols.
Mykola Klymenko (13884471) +5 more
core +1 more source
Frontiers in Human Neuroscience, 2019 Previous studies have reported conflicting results regarding the effect of direct electrical stimulation of the human hippocampus on memory performance. A major function of the hippocampus is to form associations between individual elements of experience.
Soyeon Jun +4 more
doaj +1 more source
Encoding of emotion-paired spatial stimuli in the rodent hippocampus [PDF]
Frontiers in Behavioral Neuroscience, 2012 Rats can acquire the cognitive component of CS-US associations between sensory and aversive stimuli without a functional basolateral amygdala (BLA). Thus, other brain regions should support such associations. Some septal/dorsal CA1 (dCA1) neurons respond to both spatial stimuli and footshock, suggesting that dCA1 could be one such region.
Rebecca eNalloor +3 more
openaire +4 more sources
Pattern Discovery in Time Series with Byte Pair Encoding
CoRR, 2021 The growing popularity of wearable sensors has generated large quantities of temporal physiological and activity data. Ability to analyze this data offers new opportunities for real-time health monitoring and forecasting. However, temporal physiological data presents many analytic challenges: the data is noisy, contains many missing values, and each ...
Nazgol Tavabi, Kristina Lerman
openaire +2 more sources