Suchergebnisse - Computer science and engineering::Computing methodologies::Pattern recognition [Engineering]

Three-dimensional anisotropic adaptive filtering of projection data for noise reduction in cone beam CT von Maier, Andreas, Wigström, Lars, Hofmann, Hannes G., Hornegger, Joachim, Zhu, Lei, Strobel, Norbert, Fahrig, Rebecca

“… Purpose: The combination of quickly rotating C-arm gantry with digital flat panel has enabled the acquisition of three-dimensional data (3D) in the …”
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Fine-Tuning CNN Image Retrieval with No Human Annotation von Radenovic, Filip, Tolias, Giorgos, Chum, Ondrej

“… Image descriptors based on activations of Convolutional Neural Networks (CNNs) have become dominant in image retrieval due to their discriminative power, …”
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Fault Localization with Code Coverage Representation Learning von Li, Yi, Wang, Shaohua, Nguyen, Tien

“… In this paper, we propose DeepRL4FL, a deep learning fault localization (FL) approach that locates the buggy code at the statement and method levels by treating FL as an image pattern recognition problem …”
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A New Stochastic Computing Methodology for Efficient Neural Network Implementation von Canals, Vincent, Morro, Antoni, Oliver, Antoni, Alomar, Miquel L., Rossello, Josep L.

“… We introduce different designs for building the fundamental blocks needed to implement NNs. The validity of the present approach is demonstrated through a regression and a pattern recognition task …”
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A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions von Zhihong Zeng, Pantic, M., Roisman, G.I., Huang, T.S.

“… Automated analysis of human affective behavior has attracted increasing attention from researchers in psychology, computer science, linguistics, neuroscience, and related disciplines …”
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Robust Text Detection in Natural Scene Images von Yin, Xu-Cheng, Yin, Xuwang, Huang, Kaizhu, Hao, Hong-Wei

“… Text detection in natural scene images is an important prerequisite for many content-based image analysis tasks. In this paper, we propose an accurate and …”
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Emerging artificial intelligence methods in structural engineering von Salehi, Hadi, Burgueño, Rigoberto

“… •The methods of pattern recognition, machine learning, and deep learning are studied.•The advantages of employing novel AI methods in structural engineering are discussed …”
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Emotion recognition based on physiological changes in music listening von Jonghwa Kim, Andre, Elisabeth

“… Little attention has been paid so far to physiological signals for emotion recognition compared to audiovisual emotion channels such as facial expression or speech …”
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Emotion recognition : a pattern analysis approach von Konar, Amit, Chakraborty, Aruna

“… of the research methodology of different modalities of emotion recognition. Key topics of discussion include facial expression, voice and biopotential signal-based emotion recognition …”
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PCPNet Learning Local Shape Properties from Raw Point Clouds von Guerrero, Paul, Kleiman, Yanir, Ovsjanikov, Maks, Mitra, Niloy J.

“… In this paper, we propose PCPNET, a deep‐learning based approach for estimating local 3D shape properties in point clouds. In contrast to the majority of prior …”
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Head Pose Estimation in Computer Vision: A Survey von Murphy-Chutorian, E., Trivedi, M.M.

“… The capacity to estimate the head pose of another person is a common human ability that presents a unique challenge for computer vision systems …”
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A survey of Optimal Transport for Computer Graphics and Computer Vision von Bonneel, Nicolas, Digne, Julie

“… Over the last 30 years it has spread to computer vision and computer graphics and is now becoming hard to ignore …”
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Probabilistic Models for Inference about Identity von Peng Li, Yun Fu, Mohammed, U., Elder, J. H., Prince, S. J. D.

“… Many face recognition algorithms use "distance-based" methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches …”
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Dictionary Learning in Visual Computing von Zhang, Qiang

“… The last few years have witnessed fast development on dictionary learning approaches for a set of visual computing tasks, largely due to their utilization in developing new techniques based on sparse representation …”
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Adaptation Regularization: A General Framework for Transfer Learning von Mingsheng Long, Jianmin Wang, Guiguang Ding, Pan, Sinno Jialin, Yu, Philip S.

“… Domain transfer learning, which learns a target classifier using labeled data from a different distribution, has shown promising value in knowledge discovery …”
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Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection von Li, Zechao, Liu, Jing, Yang, Yi, Zhou, Xiaofang, Lu, Hanqing

“… Many pattern analysis and data mining problems have witnessed high-dimensional data represented by a large number of features, which are often redundant and noisy …”
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Path Similarity Skeleton Graph Matching von Xiang Bai, Latecki, L.J.

“… This paper proposes a novel graph matching algorithm and applies it to shape recognition based on object silhouettes …”
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A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models von Koelstra, Sander, Pantic, Maja, Patras, Ioannis

“… In this work, we propose a dynamic texture-based approach to the recognition of facial Action Units …”
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Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models von Xiaogang Wang, Xiaoxu Ma, Grimson, W.E.L.

“… We propose a novel unsupervised learning framework to model activities and interactions in crowded and complicated scenes. Hierarchical Bayesian models are …”
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Quantum Dimension Reduction for Pattern Recognition in High-Resolution Spatio-Spectral Data von Mahmud, Naveed, Haase-Divine, Bennett, MacGillivray, Andrew, El-Araby, Esam

“… The promises of advanced quantum computing technology have driven research in the simulation of quantum computers on classical hardware, where the feasibility of quantum algorithms for real-world …”
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