Results 51 to 60 of about 1,257,085 (204)
The explosion of time series count data with diverse characteristics and features in recent years has led to a proliferation of new analysis models and methods.
Confort Kollie +2 more
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Deep neural network model for group activity recognition using contextual relationship
In this paper, we present contextual relationship-based learning model using deep neural network for recognizing the activities performed by a group of people in a video sequence.
S.A. Vahora, N.C. Chauhan
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The long-necked woodwasp superfamily Xiphydrioidea belongs to the suborder Symphyta (Hymenoptera). Here we newly characterize the complete mitochondrial genome of the South Korean Euxiphydria potanini (Xiphydriidae) using next-generation sequencing: 16 ...
Bia Park, Ui Wook Hwang
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Long-context question answering (QA) remains a significant challenge, particularly when using small-scale language models (SLLMs) with limited computational capacity.
Minyoung Kyoung +2 more
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Transitivity for height versus speed: To what extent do the under-7s really have a transitive capacity? [PDF]
This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2011 Psychology Press.Transitive inference underpins many human reasoning competencies.
Hadfield, L, Robertson, S, Wright, BC
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Recent years have seen a rise in interest in document-level relation extraction, which is defined as extracting all relations between entities in multiple sentences of a document. Typically, there are multiple mentions corresponding to a single entity in
Yang Chen, Bowen Shi
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Ontology-Based High-Level Context Inference for Human Behavior Identification
Recent years have witnessed a huge progress in the automatic identification of individual primitives of human behavior, such as activities or locations.
Claudia Villalonga +6 more
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Bootstrapping the LIS: Statistical inference and patterns of inequality in the global north [PDF]
The problem of statistical inference has long been associated with quantitative inequality research. Within the last five years, however, significant developments have occurred in both the theory and practice of conducting formal statistical inference ...
Moran, Timothy Patrick
core
Locally Stationary Functional Time Series
The literature on time series of functional data has focused on processes of which the probabilistic law is either constant over time or constant up to its second-order structure. Especially for long stretches of data it is desirable to be able to weaken
Eichler, Michael, van Delft, Anne
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Recurrent Convolutional Neural Networks for Scene Parsing [PDF]
Scene parsing is a technique that consist on giving a label to all pixels in an image according to the class they belong to. To ensure a good visual coherence and a high class accuracy, it is essential for a scene parser to capture image long range ...
Collobert, Ronan, Pinheiro, Pedro H. O.
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