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Hawkes processes for events in social media
This chapter provides an accessible introduction for point processes, and especially Hawkes
processes, for modeling discrete, inter-dependent events over continuous time. We start by …
processes, for modeling discrete, inter-dependent events over continuous time. We start by …
Deep learning for video classification and captioning
Today's digital contents are inherently multimedia: text, audio, image, video, and so on.
Video, in particular, has become a new way of communication between Internet users with …
Video, in particular, has become a new way of communication between Internet users with …
Enhancing micro-video understanding by harnessing external sounds
Different from traditional long videos, micro-videos are much shorter and usually recorded at
a specific place with mobile devices. To better understand the semantics of a micro-video …
a specific place with mobile devices. To better understand the semantics of a micro-video …
Large-scale audio event discovery in one million youtube videos
Internet videos provide a virtually boundless source of audio with a conspicuous lack of
localized annotations, presenting an ideal setting for unsupervised methods. With this …
localized annotations, presenting an ideal setting for unsupervised methods. With this …
Learning representations for nonspeech audio events through their similarities to speech patterns
The human auditory system is very well matched to both human speech and environmental
sounds. Therefore, the question arises whether human speech material may provide useful …
sounds. Therefore, the question arises whether human speech material may provide useful …
A hierarchical system for word discovery exploiting DTW-based initialization
Discovering the linguistic structure of a language solely from spoken input asks for two
steps: phonetic and lexical discovery. The first is concerned with identifying the categorical …
steps: phonetic and lexical discovery. The first is concerned with identifying the categorical …
Iterative Bayesian word segmentation for unsupervised vocabulary discovery from phoneme lattices
In this paper we present an algorithm for the unsupervised segmentation of a lattice
produced by a phoneme recognizer into words. Using a lattice rather than a single phoneme …
produced by a phoneme recognizer into words. Using a lattice rather than a single phoneme …
Social-sensed multimedia computing
P Cui - Frontiers of Multimedia Research, 2017 - dl.acm.org
Multimedia computing technology, as one of the most effective and pervasive technologies
in modern society, plays irreplaceable roles in bridging user needs with vast amounts of …
in modern society, plays irreplaceable roles in bridging user needs with vast amounts of …
Unsupervised word segmentation from noisy input
In this paper we present an algorithm for the unsupervised segmentation of a character or
phoneme lattice into words. Using a lattice at the input rather than a single string accounts …
phoneme lattice into words. Using a lattice at the input rather than a single string accounts …
Unsupervised hierarchical structure induction for deeper semantic analysis of audio
Current audio analysis techniques rely on fairly shallow analysis of audio content, using
symbols or patterns extracted directly from the observed acoustics. We hypothesize that the …
symbols or patterns extracted directly from the observed acoustics. We hypothesize that the …