Suchergebnisse - computer learning AND pattern recognition::(automatic OR automatizace) problems solving*

Automatic discovery of resource-restricted Convolutional Neural Network topologies for myoelectric pattern recognition von Olsson, Alexander E., Björkman, Anders, Antfolk, Christian

“… Convolutional Neural Networks (CNNs) have been subject to extensive attention in the pattern recognition literature due to unprecedented performance in tasks of information extraction from unstructured data …”
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Automatic assessment of cognitive and emotional states in virtual reality‐based flexibility training for four adolescents with autism von Moon, Jewoong, Ke, Fengfeng, Sokolikj, Zlatko

“… ) in interpreting, selecting and creating multimodal representations during STEM‐related design problem solving …”
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An efficient automatic workload estimation method based on electrodermal activity using pattern classifier combinations von Ghaderyan, Peyvand, Abbasi, Ataollah

“… Automatic workload estimation has received much attention because of its application in error prevention, diagnosis, and treatment of neural system impairment …”
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Automatic music transcription for traditional woodwind instruments sopele von Skoki, Arian, Ljubic, Sandi, Lerga, Jonatan, Štajduhar, Ivan

“… •Unwanted pitch variation is mitigated using DFT and supervised machine learning.•DFT-coupled RF and CNN models achieve F1 …”
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Associating Facial Expressions and Upper-Body Gestures with Learning Tasks for Enhancing Intelligent Tutoring Systems von Behera, Ardhendu, Matthew, Peter, Keidel, Alexander, Vangorp, Peter, Fang, Hui, Canning, Susan

“… In this paper, we explore the automatic detection of learner’s nonverbal behaviors involving hand-over-face gestures, head and eye movements and emotions via facial expressions during learning …”
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Active Learning for Solving the Incomplete Data Problem in Facial Age Classification by the Furthest Nearest-Neighbor Criterion von Jian-Gang Wang, Sung, E, Wei-Yun Yau

“… One of the difficulties in applying learning techniques to the age classification problem is the large amount of labeled training data required …”
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A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving von Xu, Lei

“… learning, multi-sets mixture based object detection and motion estimation, and multi-agent coordinated problem solving …”
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A Case-Based Recommendation Approach for Market Basket Data von Gatzioura, Anna, Sanchez-Marre, Miquel

“… The scope of the presented approach is to generate meaningful recommendations based on items' co-occurring patterns and to provide more insight into customers' buying habits …”
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Solving multi-class problems by data-driven topology-preserving output codes von Zhang, Junying, Zhao, Xiaoxue, Du, Lan

“… Aiming at decomposing a complex multi-class problem into fewer and simpler sub-problems to gain an overall classifier of low complexity, we propose a universal data-driven topology-preserving output code (TPOC …”
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Using an autoencoder in the design of an anomaly detector for smart manufacturing von Alfeo, Antonio L., Cimino, Mario G.C.A., Manco, Giuseppe, Ritacco, Ettore, Vaglini, Gigliola

“… •Our approach provides smaller error and computational cost w.r.t. isolation forest.•The discriminator provides automatic and reliable anomaly score post-processing …”
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Automatic Hint Generation for Logic Proof Tutoring Using Historical Data von Barnes, Tiffany, Stamper, John

“… In building intelligent tutoring systems, it is critical to be able to understand and diagnose student responses in interactive problem solving …”
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Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images von naceur, Mostefa Ben, Saouli, Rachida, Akil, Mohamed, Kachouri, Rostom

“… •A new fully automatic end-to-end deep learning model for brain tumor segmentation …”
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Design of fuzzy cognitive maps using neural networks for predicting chaotic time series von Song, H.J., Miao, C.Y., Shen, Z.Q., Roel, W., Maja, D.H., Francky, C.

“… As a powerful paradigm for knowledge representation and a simulation mechanism applicable to numerous research and application fields, Fuzzy Cognitive Maps …”
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Automated Gaze-Based Identification of Students’ Strategies in Histogram Tasks through an Interpretable Mathematical Model and a Machine Learning Algorithm von Boels, Lonneke, Moreno-Esteva, Enrique Garcia, Bakker, Arthur, Drijvers, Paul

“… As a first step toward automatic feedback based on students’ strategies for solving histogram tasks we investigated how strategy recognition can be automated based on students’ gazes …”
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CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts von Carreira, J., Sminchisescu, C.

“… The object hypotheses are represented as figure-ground segmentations, and are extracted automatically, without prior knowledge of the properties of individual object classes, by solving a sequence …”
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OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning von Li, Li-Jia, Fei-Fei, Li

“… Semantic image understanding plays a vital role towards solving this problem. One important task in image understanding is object recognition, in particular, generic object categorization …”
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Off-line Arabic character recognition: the state of the art von Amin, Adnan

“… However, little work has been conducted on the automatic recognition of Arabic characters because of the complexity of printed and handwritten text, and this problem is still an open research field …”
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Mining layered technological information in scientific papers: A semi-supervised method von Wang, Xiaoyu, Zhai, Yujia, Lin, Yuanhai, Wang, Fang

“… The ever-increasing volume of scientific outputs is a boom to technological innovation, but it also complicates efforts to obtain useful and concise information for problem solving …”
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Further advances on Bayesian Ying-Yang harmony learning von Xu, Lei

“… alternative nonlocal search for various learning tasks and unifies attention, detection, problem-solving, adaptation, learning and model selection from an information harmonising perspective …”
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A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving : Visual information processing von LEI XU

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