Results 11 to 20 of about 7,594,062 (311)
Is Someone Speaking?: Exploring Long-term Temporal Features for Audio-visual Active Speaker Detection [PDF]
Active speaker detection (ASD) seeks to detect who is speaking in a visual scene of one or more speakers. The successful ASD depends on accurate interpretation of short-term and long-term audio and visual information, as well as audio-visual interaction.
Ruijie Tao +5 more
semanticscholar +1 more source
Significant Low-Dimensional Spectral-Temporal Features for Seizure Detection [PDF]
Absence seizure as a generalized onset seizure, simultaneously spreading seizure to both sides of the brain, involves around ten-second sudden lapses of consciousness.
Xucun Yan +3 more
semanticscholar +1 more source
—Recognition of human intention is crucial and challenging due to subtle motion patterns of a series of action evolutions. Understanding of human actions is the foundation of many applications, i.e., human robot interaction, smart video monitoring and ...
Saifuddin Saif +2 more
semanticscholar +1 more source
Morphological Features of Temporal Arteritis [PDF]
Although it varies from center to center, the frequency of temporal artery biopsy in patients suspected of having temporal arteritis (TA) is relatively small. Most commonly, patients suspected of having TA are placed on prednisone for varying periods of time, and if symptoms disappear or lessen the diagnosis is made.
William C, Roberts +2 more
openaire +2 more sources
Email Classification with Temporal Features [PDF]
We propose a novel solution to the email classification problem: the integration of temporal information with the traditional content-based classification approaches. We discover temporal relations in an email sequence in the form of temporal sequential patterns and embed the discovered information into contentbased learning methods.
Kiritchenko, Svetlana +2 more
openaire +1 more source
Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition [PDF]
Convolutional neural networks with spatio-temporal 3D kernels (3D CNNs) have an ability to directly extract spatiotemporal features from videos for action recognition. Although the 3D kernels tend to overfit because of a large number of their parameters,
Kensho Hara, Hirokatsu Kataoka, Y. Satoh
semanticscholar +1 more source
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction [PDF]
We propose SAINT+, a successor of SAINT which is a Transformer based knowledge tracing model that separately processes exercise information and student response information.
Dongmin Shin +5 more
semanticscholar +1 more source
A Novel Time-Sensitive Composite Similarity Model for Multivariate Time-Series Correlation Analysis
Finding the correlation between stocks is an effective method for screening and adjusting investment portfolios for investors. One single temporal feature or static nontemporal features are generally used in most studies to measure the similarity between
Mengxia Liang +2 more
doaj +1 more source
Temporal integration of feature probability distributions
Humans are surprisingly good at learning the characteristics of their visual environment. Recent studies have revealed that not only can the visual system learn repeated features of visual search distractors, but their actual probability distributions.
Sabrina Hansmann-Roth +3 more
openaire +3 more sources
As one of the most important agricultural production types in the world, orchards have high economic, ecological, and cultural value, so the accurate and timely mapping of orchards is highly demanded for many applications. Selecting a remote-sensing (RS)
Zhiying Yao +9 more
doaj +1 more source

