Search Results - (( java application mining algorithm ) OR ( based motion learning algorithm ))
Search alternatives:
- application mining »
- learning algorithm »
- java application »
- mining algorithm »
- motion learning »
- based motion »
-
1
Direct approach for mining association rules from structured XML data
Published 2012Get full text
Get full text
Thesis -
2
-
3
Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893)
Published 2017“…The significant contribution for this study is that the learning rule (e.g. STDP algorithm) has learning capability in memory recall. …”
Get full text
Get full text
Monograph -
4
Behavior-Based Motion Planning of Autonomous Car Using Deep Learning Algorithm
Published 2024Get full text
Final Year Project -
5
A low dispersion probabilistic roadmaps (LD-PRM) algorithm for fast and efficient sampling-based motion planning
Published 2023Subjects:Article -
6
-
7
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
Get full text
Get full text
Get full text
Article -
8
Design and optimization of Levenberg-Marquardt based Neural Network Classifier for EMG signals to identify hand motions
Published 2013“…Between the Levenberg-Marquardt and scaled conjugate gradient learning algorithms, the aforesaid algorithm shows better classification performance. …”
Get full text
Get full text
Get full text
Article -
9
A low dispersion probabilistic roadmaps (LD-PRM) algorithm for fast and efficient sampling-based motion planning
Published 2013“…In this paper, we propose a new learning strategy for a probabilistic roadmap (PRM) algorithm. …”
Get full text
Get full text
Get full text
Article -
10
Motion learning using spatio-temporal neural network
Published 2020“…In this study, learning is implemented on a reward basis without the need for learning targets.The algorithm has shown good potential in learning motion trajectory particularly in noisy and dynamic settings. …”
Get full text
Get full text
Get full text
Article -
11
Adapting robot kinematics for human-arm motion recognition
Published 2007“…Finally, classification of the human-arm motion is achieved by comparing the QNTs to the parameters learnt with particle filter based motion tracking algorithm. …”
Get full text
Get full text
Article -
12
Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
13
A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
14
A new technique for improving the dispersion of a set of samples. Application in multi-query motion planning
Published 2023“…In this paper, we proposed a new learning strategy for probabilistic roadmap (PRM) algorithm. …”
Conference Paper -
15
Mining Sequential Patterns using I-PrefixSpan
Published 2008Get full text
Get full text
Citation Index Journal -
16
-
17
Particle swarm optimization with deep learning for human action recognition
Published 2021“…Our deep learning method also performs the atomic morphological operations and shadow removal based on the hue saturation value color space. …”
Get full text
Get full text
Article -
18
Imitation learning through self-exploration : from body-babbling to visuomotor association / Farhan Dawood
Published 2015“…The results show that the imitation learning algorithm is able to incrementally learn and associate the observed motion patterns based on the segmentation of motion primitives.…”
Get full text
Get full text
Thesis -
19
Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments
Published 2022“…On the other hand, learning-based methods automatically learn the features required through motion mapping. …”
Get full text
Get full text
Article -
20
Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments
Published 2022“…On the other hand, learning-based methods automatically learn the features required through motion mapping. …”
Get full text
Get full text
Article
