Improved MTCNN face detection algorithm fused with context features
The multi-task convolutional neural network (MTCNN) face detection algorithm has a low detection rate of small faces in classroom scenes. An improved MTCNN algorithm that integrates context features was thus proposed.
Meihua GU, Jing FENG, Na YANG
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Video Anomaly Detection Algorithm Based on Object Spatio-Temporal Context Fusion [PDF]
The purpose of video anomaly detection is to identify abnormal events in videos.Abnormal events primarily involve people, vehicles, and other objects.Each object in video data contains abundant spatio-temporal context information.However, most existing ...
GU Ping, QIU Jiatao, LUO Changjiang, ZHANG Zhipeng
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Spatio Temporal Context Target Tracking Algorithm of Self-adaption Learning [PDF]
For the traditional Spatio Temporal Context target tracking(STC) algorithm,no change of tracking’s window for a long time leads to learning space context model does not have a targeted problem when the target scale changes.This paper proposes a Spatio ...
ZHANG Jing,WANG Xu,FAN Hongbo
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Target Tracking Algorithm Based on Siamese Region Proposal Network for UAV [PDF]
When performing target tracking tasks, Unmanned Aerial Vehicles(UAV) often lose their targets due to occlusion, illumination changes and background interference.Based on the SiamRPN algorithm, a target tracking algorithm is proposed for UAV.The algorithm
YANG Shuaidong, CHEN Haiyun, XU Fancheng, ZHAO Shuduo, YUAN Jiemin
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Learning of Structurally Unambiguous Probabilistic Grammars [PDF]
The problem of identifying a probabilistic context free grammar has two aspects: the first is determining the grammar's topology (the rules of the grammar) and the second is estimating probabilistic weights for each rule.
Dana Fisman +2 more
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Algorithmic moderation: contexts, perceptions, and misconceptions
Algorithmic moderation is often presented as the only solution to the scale of harmful and hateful content disseminated online. This chapter questions this assertion by contextualizing the need and scope of algorithmic moderation based on normative considerations, followed by a set of critical issues to be approached in the study of algorithmic ...
João Gonçalves, Ina Weber
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CASSA: A Context-Aware Synonym Simplification Algorithm [PDF]
Comunicació presentada a: 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, celebrada a Denver (Colorado) del 31 de maig al 5 de juny de 2015.
Baeza Yates, Ricardo +2 more
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Increased Compression Efficiency of AVC and HEVC CABAC by Precise Statistics Estimation [PDF]
The paper presents Improved Adaptive Arithmetic Coding algorithm for application in future video compression technology. The proposed solution is based on the Context-based Adaptive Binary Arithmetic Coding (CABAC) technique and uses the authors ...
Damian Karwowski, Marek Domański
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The influence of different PAST-based subspace trackers on DaPT parameter estimation [PDF]
In the context of parameter estimation, subspace-based methods like ESPRIT have become common. They require a subspace separation e.g. based on eigenvalue/-vector decomposition. In time-varying environments, this can be done by subspace trackers.
M. Lechtenberg, J. Götze
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Kernel Context Recommender System (KCR): A Scalable Context-Aware Recommender System Algorithm
Recommender systems are intelligent data mining applications that deal with the issue of information overload significantly. The available literature discusses several methodologies to generate recommendations and proposes different techniques in ...
Misbah Iqbal +6 more
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