Search Results - Engineering::Computer science and engineering::Computing methodologies::Pattern recognition*

A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions by 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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Fine-Tuning CNN Image Retrieval with No Human Annotation by 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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Emotion recognition based on physiological changes in music listening by 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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A New Stochastic Computing Methodology for Efficient Neural Network Implementation by 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 Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models by 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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Fault Localization with Code Coverage Representation Learning by 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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Emerging artificial intelligence methods in structural engineering by 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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Real-Time EMG Based Pattern Recognition Control for Hand Prostheses: A Review on Existing Methods, Challenges and Future Implementation by Parajuli, Nawadita, Sreenivasan, Neethu, Bifulco, Paolo, Cesarelli, Mario, Savino, Sergio, Niola, Vincenzo, Esposito, Daniele, Hamilton, Tara J., Naik, Ganesh R., Gunawardana, Upul, Gargiulo, Gaetano D.

“…Upper limb amputation is a condition that significantly restricts the amputees from performing their daily activities. The myoelectric prosthesis, using…”
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Robust Text Detection in Natural Scene Images by 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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PCPNet Learning Local Shape Properties from Raw Point Clouds by 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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Quantum Dimension Reduction for Pattern Recognition in High-Resolution Spatio-Spectral Data by 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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Emotion recognition : a pattern analysis approach by 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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A survey of Optimal Transport for Computer Graphics and Computer Vision by 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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Tied Factor Analysis for Face Recognition across Large Pose Differences by Prince, S.J.D., Warrell, J., Elder, J.H., Felisberti, F.M.

“…Face recognition algorithms perform very unreliably when the pose of the probe face is different from the gallery face…”
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Adaptation Regularization: A General Framework for Transfer Learning by 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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Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities by Morshed, Md Golam, Sultana, Tangina, Alam, Aftab, Lee, Young-Koo

“… This study presents an in-depth analysis of human activity recognition that investigates recent developments in computer vision…”
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Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection by 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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Sign Language Recognition by Combining Statistical DTW and Independent Classification by Lichtenauer, J.F., Hendriks, E.A., Reinders, M.J.

“…To recognize speech, handwriting, or sign language, many hybrid approaches have been proposed that combine dynamic time warping (DTW) or hidden Markov models…”
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A Benchmark Dataset for Repetitive Pattern Recognition on Textured 3D Surfaces by Lengauer, Stefan, Sipiran, Ivan, Preiner, Reinhold, Schreck, Tobias, Bustos, Benjamin

“…In digital archaeology, a large research area is concerned with the computer‐aided analysis of 3D captured ancient pottery objects…”
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Script Recognition-A Review by Ghosh, D, Dube, T, Shivaprasad, A P

“… In a multiscript, multilingual environment, it is essential to know the script used in writing a document before an appropriate character recognition and document analysis algorithm can be chosen…”
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