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IEEE Transactions on Image Processing, ISSN 1057-7149, 03/2018, Volume 27, Issue 3, pp. 1164 - 1177
Journal Article
BioMedical Engineering Online, ISSN 1475-925X, 10/2017, Volume 16, Issue 1, pp. 122 - 19
Journal Article
The Journal of the Acoustical Society of America, ISSN 0001-4966, 09/2017, Volume 142, Issue 3, pp. 1281 - 1290
Ground parrot vocalisation can be considered as an audio event. Test-based diverse density multiple instance learning (TB-DD-MIL) is proposed for detecting... 
ACOUSTICS | RECOGNITION | BIRD SOUNDS | AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY | ACOUSTIC CLASSIFICATION
Journal Article
Optics and Laser Technology, ISSN 0030-3992, 02/2019, Volume 110, pp. 234 - 238
Automatic segmentation of organs from medical images is indispensable for the computer-assisted medical applications. Statistical Shape Models (SSMs) based... 
Statistical shape model | Landmarks correspondence | 3D image segmentation | Mesh registration | PHYSICS, APPLIED | SEGMENTATION | OPTICS | Image processing | Control engineering | Methods
Journal Article
Pattern Recognition, ISSN 0031-3203, 12/2016, Volume 60, pp. 86 - 105
Human action recognition from RGB-D (Red, Green, Blue and Depth) data has attracted increasing attention since the first work reported in 2010. Over this... 
Action recognition | RGB-D dataset | Evaluation protocol | VIDEO | REPRESENTATION | DEPTH FEATURE | MODEL | EVENT | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | SPACE | POSE | FRAMEWORK | LATENCY | Usage | Algorithms
Journal Article
IEEE Access, ISSN 2169-3536, 2019, Volume 7, pp. 90585 - 90596
Journal Article
IEEE Transactions on Human-Machine Systems, ISSN 2168-2291, 08/2016, Volume 46, Issue 4, pp. 498 - 509
This paper proposes a new method, i.e., weighted hierarchical depth motion maps (WHDMM) + three-channel deep convolutional neural networks (3ConvNets), for... 
Training | Action recognition | depth maps | pseudocolor coding | deep learning | Image recognition | Neural networks | Feature extraction | Cameras | Spatiotemporal phenomena | Yttrium | ENSEMBLE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | COMPUTER SCIENCE, CYBERNETICS | FEATURES | Datasets | Construction | Human motion | Algorithms | Maps | Strategy | Moving object recognition | Image enhancement
Journal Article
Pattern Recognition, ISSN 0031-3203, 05/2013, Volume 46, Issue 5, pp. 1485 - 1500
Motivated by the discriminative ability of shape information and local patterns in object recognition, this paper proposes a window-based object descriptor... 
Human | State of the art | Shape | Tasks | Images | Pattern recognition | Object recognition | Template matching
Journal Article
Pattern Recognition, ISSN 0031-3203, 03/2016, Volume 51, pp. 148 - 175
The problem of human detection is to automatically locate people in an image or video sequence and has been actively researched in the past decade. This paper... 
Object description | Human description | Human detection | Object detection | DESCRIPTOR | CLASSIFICATION | PATTERNS | SUBSPACE | MULTIPLE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | PEDESTRIAN DETECTION | PICTORIAL STRUCTURES | SHAPE | MOTION | Computer science | Surveys | Video recordings
Journal Article
Pattern Recognition, ISSN 0031-3203, 05/2013, Volume 46, Issue 5, pp. 1485 - 1500
Motivated by the discriminative ability of shape information and local patterns in object recognition, this paper proposes a window-based object descriptor... 
Object description | Generalised distance transform | Template matching | Non-redundant local binary pattern | Object detection | IMAGE | HISTOGRAMS | MULTIPLE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Human | State of the art | Shape | Tasks | Feature extraction | Pattern recognition | Object recognition | Image detection
Journal Article
IEEE Transactions on Multimedia, ISSN 1520-9210, 05/2018, Volume 20, Issue 5, pp. 1051 - 1061
Journal Article
Optics and Laser Technology, ISSN 0030-3992, 02/2019, Volume 110, p. 234
Automatic segmentation of organs from medical images is indispensable for the computer-assisted medical applications. Statistical Shape Models (SSMs) based... 
Image segmentation | Medical imaging | Deformation | Physicians | 3-D technology | Organs | Landmarks | Optimization | Image processing systems
Journal Article
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 04/2018, Volume 2018-, pp. 4479 - 4483
Inverse covariance matrix, a.k.a. precision matrix, has wide applications in signal processing and is often estimated from training samples. The quality of... 
Training | Measurement | Banding | Estimation | Bandwidth | Signal processing | cross-validation | tapering | Regression analysis | Covariance matrices | precision matrix | Tapering | Precision matrix | Cross-validation
Conference Proceeding
Textile Research Journal, ISSN 0040-5175, 12/2018, Volume 88, Issue 23, pp. 2641 - 2653
Journal Article
Neurocomputing, ISSN 0925-2312, 09/2014, Volume 140, pp. 242 - 251
This paper proposes food image classification methods exploiting both local appearance and global structural information of food objects. The contribution of... 
Local binary pattern | Food image classification | Shape context | Non-redundant local binary pattern | RECOGNITION | SCALE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Paper | Performance enhancement | Foods | Classification | Image classification
Journal Article
Neurocomputing, ISSN 0925-2312, 06/2013, Volume 110, pp. 51 - 61
Detecting multiple humans in crowded scenes is challenging because the humans are often partially or even totally occluded by each other. In this paper, we... 
Occlusion reasoning | Human detection | Non-redundant local binary pattern | Mean field method | BAYESIAN COMBINATION | SPACE | TRACKING | PARTIALLY OCCLUDED HUMANS | MULTIPLE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Algorithms | Reasoning | Analysis | Detectors
Journal Article
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 03/2016, Volume 2016-, pp. 2399 - 2403
We consider the problem of learning a structured and discriminative dictionary based on sparse representation for classification task. The structure comprises... 
Training | Max Margin | Dictionaries | Collaboration | Sparse Representation | Linear programming | Encoding | Sparse matrices | Optimization | Dictionary learning | Learning | Tasks | Conferences | Similarity | Classification | Electronics
Conference Proceeding
Studies in Computational Intelligence, ISSN 1860-949X, 2018, Volume 752, pp. 85 - 93
Conference Proceeding
Studies in Computational Intelligence, ISSN 1860-949X, 2018, Volume 752, pp. 123 - 131
Conference Proceeding
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