X
Search Filters
Format Format
Format Format
X
Sort by Item Count (A-Z)
Filter by Count
Conference Proceeding (93037) 93037
Journal Article (63881) 63881
Publication (4752) 4752
Newspaper Article (1155) 1155
Book Chapter (579) 579
Dissertation (574) 574
Government Document (279) 279
Magazine Article (232) 232
Reference (37) 37
Book Review (26) 26
Book / eBook (24) 24
Patent (24) 24
Paper (17) 17
Trade Publication Article (16) 16
Web Resource (6) 6
Data Set (4) 4
Technical Report (4) 4
Poster (1) 1
Report (1) 1
Standard (1) 1
more...
Subjects Subjects
Subjects Subjects
X
Sort by Item Count (A-Z)
Filter by Count
feature extraction (139009) 139009
training (19007) 19007
classification (16658) 16658
support vector machines (16292) 16292
algorithms (15300) 15300
engineering, electrical & electronic (14356) 14356
neural networks (12869) 12869
data mining (12041) 12041
image segmentation (10394) 10394
machine learning (9902) 9902
databases (9463) 9463
accuracy (8993) 8993
humans (7990) 7990
pattern recognition (7657) 7657
visualization (7465) 7465
face recognition (7367) 7367
histograms (7161) 7161
shape (6962) 6962
cameras (6853) 6853
images (6852) 6852
image color analysis (6831) 6831
computer science, artificial intelligence (6695) 6695
robustness (6655) 6655
principal component analysis (6478) 6478
image processing (6233) 6233
computer science (6031) 6031
index medicus (5974) 5974
conferences (5575) 5575
face (5550) 5550
analysis (5523) 5523
vectors (5484) 5484
artificial neural networks (5271) 5271
computer science, information systems (5267) 5267
computer vision (5254) 5254
merkmalextraktionsverfahren (5215) 5215
recognition (5193) 5193
kernel (4921) 4921
classification algorithms (4920) 4920
remote sensing (4822) 4822
support vector machine (4723) 4723
image edge detection (4709) 4709
hidden markov models (4697) 4697
electroencephalography (4489) 4489
semantics (4488) 4488
deep learning (4418) 4418
testing (4409) 4409
artificial intelligence (4351) 4351
speech (4310) 4310
detectors (4291) 4291
object recognition (4260) 4260
computational modeling (4162) 4162
signal processing (4141) 4141
wavelet transforms (4063) 4063
segmentation (4061) 4061
image classification (4025) 4025
mathematical models (4023) 4023
telecommunications (3890) 3890
optimization (3855) 3855
correlation (3839) 3839
image recognition (3816) 3816
sensors (3773) 3773
speech recognition (3735) 3735
usage (3724) 3724
algorithm design and analysis (3604) 3604
three-dimensional displays (3518) 3518
task analysis (3459) 3459
entropy (3368) 3368
biometrics (3306) 3306
mathematical analysis (3274) 3274
feature selection (3235) 3235
image retrieval (3156) 3156
feature-extraction (3144) 3144
fault diagnosis (3115) 3115
methods (3057) 3057
monitoring (3010) 3010
convolution (3004) 3004
clustering algorithms (2986) 2986
classifiers (2932) 2932
estimation (2907) 2907
object detection (2904) 2904
transforms (2852) 2852
texture (2737) 2737
learning (2710) 2710
noise (2688) 2688
computer simulation (2673) 2673
data models (2671) 2671
automation (2654) 2654
mathematical model (2654) 2654
imaging science & photographic technology (2586) 2586
measurement (2565) 2565
character recognition (2561) 2561
research (2537) 2537
image analysis (2488) 2488
studies (2488) 2488
color (2426) 2426
tracking (2415) 2415
svm (2400) 2400
acoustics (2317) 2317
computer science, software engineering (2296) 2296
clustering (2287) 2287
more...
Library Location Library Location
Language Language
Language Language
X
Sort by Item Count (A-Z)
Filter by Count
English (140163) 140163
Chinese (4177) 4177
Japanese (568) 568
Korean (99) 99
Turkish (66) 66
Portuguese (45) 45
Polish (35) 35
German (29) 29
Spanish (22) 22
French (17) 17
Indonesian (7) 7
Slovenian (6) 6
Italian (3) 3
Swedish (3) 3
Arabic (2) 2
Croatian (2) 2
Catalan (1) 1
Lithuanian (1) 1
Russian (1) 1
more...
Publication Date Publication Date
Click on a bar to filter by decade
Slide to change publication date range


2017 IEEE International Conference on Computer Vision (ICCV), ISSN 1550-5499, 10/2017, Volume 2017-, pp. 2980 - 2988
We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while... 
Image segmentation | Feature extraction | Quantization (signal) | Robustness | Semantics | Object detection
Conference Proceeding
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 6230 - 6239
Scene parsing is challenging for unrestricted open vocabulary and diverse scenes. In this paper, we exploit the capability of global context information by... 
Image segmentation | Feature extraction | Convolution | Automobiles | Semantics | Neural networks
Conference Proceeding
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 936 - 944
Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid representations have been avoided in... 
Semantics | Detectors | Computer architecture | Object detection | Feature extraction | Robustness | Proposals
Conference Proceeding
Pattern Recognition, ISSN 0031-3203, 03/2012, Volume 45, Issue 3, pp. 1104 - 1118
The newly-emerging sparse representation-based classifier (SRC) shows great potential for pattern classification but lacks theoretical justification. This... 
Feature extraction | Sparse representation | Classifier | Pattern classification
Journal Article
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 1335 - 1344
Person re-identification across cameras remains a very challenging problem, especially when there are no overlapping fields of view between cameras. In this... 
Measurement | Training | Visualization | Convolution | Robot vision systems | Feature extraction | Cameras
Conference Proceeding
Child Development, ISSN 0009-3920, 07/2012, Volume 83, Issue 4, p. 1122
  This article presents an eye-tracking study using a novel combination of visual saliency maps and "area-of-interest" analyses to explore online feature... 
Feature extraction
Journal Article
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 5835 - 5843
Convolutional neural networks have recently demonstrated high-quality reconstruction for single-image super-resolution. In this paper, we propose the Laplacian... 
Training | Feature extraction | Laplace equations | Convolution | Spatial resolution | Image reconstruction
Conference Proceeding
Neural Computing and Applications, ISSN 0941-0643, 07/2019
Journal Article
International Journal of Computational Systems Engineering, ISSN 2046-3391, 01/2018, Volume 4, Issue 2-3, pp. 146 - 155
A very simple and novel idea based on adaptive window dependent differential histogram approach has been proposed for automatic detection and identification of... 
Feature extraction
Journal Article
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 4303 - 4311
In recent years, several methods have been developed to utilize hierarchical features learned from a deep convolutional neural network (CNN) for visual... 
Benchmark testing | Visualization | Feature extraction | Target tracking | Correlation | Standards
Conference Proceeding
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 3652 - 3661
When considering person re-identification (re-ID) as a retrieval process, re-ranking is a critical step to improve its accuracy. Yet in the re-ID community,... 
Measurement | Computer vision | Feature extraction | Encoding | Robustness | Probes
Conference Proceeding
IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, 01/2017, Volume 23, Issue 1, pp. 171 - 180
We present a novel visualization framework, AnaFe, targeted at observing changes in the spleen over time through multiple image-derived features. Accurate... 
Spleen | Visualization | Feature extraction
Journal Article
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 21 - 29
This paper presents stacked attention networks (SANs) that learn to answer natural language questions from images. SANs use semantic representation of a... 
Convolution | Semantics | Bicycles | Dogs | Logic gates | Feature extraction | Cognition
Conference Proceeding
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 3150 - 3158
Semantic segmentation research has recently witnessed rapid progress, but many leading methods are unable to identify object instances. In this paper, we... 
Training | Backpropagation | Image segmentation | Semantics | Object detection | Feature extraction | Proposals
Conference Proceeding
by Park, J and Choi, H and Yoon, J and Yoon, S and Yun, C
Sleep, ISSN 0161-8105, 04/2018, Volume 41, Issue suppl_1, pp. A122 - A122
Abstract Sleepiness from chronic sleep deprivation and sleep disorders, is a major risk factor for traffic accidents and occupational injuries, and a main... 
Sleep disorders | Feature extraction | Electroencephalography
Journal Article
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 1320 - 1329
Person re-identification (ReID) is an important task in wide area video surveillance which focuses on identifying people across different cameras. Recently,... 
Training | Feature extraction | Loss measurement | Probes | Machine learning | Testing
Conference Proceeding
2013 IEEE Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 06/2013, pp. 2083 - 2090
Salient object detection has been attracting a lot of interest, and recently various heuristic computational models have been designed. In this paper, we... 
Training | Image segmentation | Histograms | Image color analysis | Object detection | Feature extraction | Vectors
Conference Proceeding
by LIN, J and ZUO, M.J
Mechanical Systems and Signal Processing, ISSN 0888-3270, 2003, Volume 17, Issue 6, pp. 1259 - 1269
Vibration signals from a gearbox are usually noisy. As a result, it is difficult to find early symptoms of a potential failure in a gearbox. Wavelet transform... 
FEATURE-EXTRACTION | VIBRATION | ENGINEERING, MECHANICAL
Journal Article
2012 IEEE Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 06/2012, pp. 1290 - 1297
Human action recognition is an important yet challenging task. The recently developed commodity depth sensors open up new possibilities of dealing with this... 
Noise | Humans | Hidden Markov models | Cameras | Feature extraction | Robustness | Joints
Conference Proceeding
Computers & Mathematics with Applications, ISSN 0898-1221, 09/2012, Volume 64, Issue 5
With the fast development of 3D model construction and widespread popularity of 3D graphic engines, more applications employ 3D geometric models to provide an... 
Feature extraction
Journal Article
No results were found for your search.

Cannot display more than 1000 results, please narrow the terms of your search.