Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Kishore K. Reddy"'
Publikováno v:
IEEE Internet of Things Journal. 6:10639-10651
This paper proposes recurrent neuron networks (RNNs) for a fingerprinting indoor localization using WiFi. Instead of locating user's position one at a time as in the cases of conventional algorithms, our RNN solution aims at trajectory positioning an
Publikováno v:
International Journal of Prognostics and Health Management, Vol 7, Iss 4 (2016)
It is of paramount importance to track the cognitive activity or cognitve attenion of the service personnel in a Prognostics and Health Monitoring (PHM) service related training or operation environment. The electroencephalography (EEG) data is one o
Publikováno v:
VTC-Fall
We propose SURF-LSTM, a low complexity deep architecture to learn image absolute pose (position and orientation) in indoor environments using SURF descriptors and recurrent neural networks. Given the strongest SURF features descriptors of an input im
Publikováno v:
VTC-Fall
Image based localization is a key block of visual simultaneous localization and mapping (SLAM) system where image data is used to localize the camera relative to an arbitrary reference frame. Although finding the location from one image or between tw
Publikováno v:
VTC-Fall
Neural networks-based camera pose estimation systems rely on fine tuning very large networks to regress the camera position and orientation with very complex training procedure. In this paper, we explore the following question: do we need to fine tun
Autor:
Shane Zable, Steven W. Burd, Richard LaRowe, Amit Surana, Kishore K. Reddy, Paul Kodzwa, Eric Brewer
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030617240
DDDAS
DDDAS
The vast majority of leading executives with aerospace and defense industries expect artificial intelligence (AI) technologies to influence every part of their operations over the next decade. Security leaders have recognized that the human cognitive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbc1c88ccf536c8cc600a33fcb13b09b
https://doi.org/10.1007/978-3-030-61725-7_42
https://doi.org/10.1007/978-3-030-61725-7_42
Autor:
Kishore K. Reddy, Vivek Venugopalan, Soumik Sarkar, Michael J. Giering, Navdeep Jaitly, Julian Ryde
Publikováno v:
Journal of Signal Processing Systems. 88:205-217
Occlusion edges correspond to range discontinuity in a scene from the point of view of the observer. Detection of occlusion edges is an important prerequisite for many machine vision and mobile robotic tasks. Although they can be extracted from range
Publikováno v:
PACRIM
Adding an image descriptor to the input significantly enhances the performance of a convolutional neural network. By incorporating Speeded Up Robust Feature (SURF) descriptors for indoor localization applications, we report a simpler convolutional ne
Publikováno v:
CVPR Workshops
Depth cues are essential to achieving high-level scene understanding, and in particular to determining geometric relations between objects. The ability to reason about depth information in scene analysis tasks can often result in improved decision-ma
Autor:
Mubarak Shah, Kishore K. Reddy
Publikováno v:
Machine Vision and Applications. 24:971-981
Action recognition on large categories of unconstrained videos taken from the web is a very challenging problem compared to datasets like KTH (6 actions), IXMAS (13 actions), and Weizmann (10 actions). Challenges like camera motion, different viewpoi