X
Search Filters
Format Format
Format Format
X
Sort by Item Count (A-Z)
Filter by Count
Journal Article (10484) 10484
Conference Proceeding (9307) 9307
Publication (1089) 1089
Book Chapter (100) 100
Dissertation (18) 18
Magazine Article (11) 11
Book / eBook (8) 8
Newsletter (5) 5
Data Set (3) 3
Newspaper Article (2) 2
Paper (2) 2
Reference (2) 2
Book Review (1) 1
Web Resource (1) 1
more...
Subjects Subjects
Subjects Subjects
X
Sort by Item Count (A-Z)
Filter by Count
convolutional neural network (8281) 8281
convolutional neural networks (7639) 7639
deep learning (6119) 6119
neural networks (5253) 5253
feature extraction (4730) 4730
training (3782) 3782
neuronales netzwerk (2996) 2996
machine learning (2890) 2890
engineering, electrical & electronic (2740) 2740
artificial neural networks (2510) 2510
convolution (2229) 2229
classification (2027) 2027
computer science, artificial intelligence (1594) 1594
computer science, information systems (1248) 1248
image segmentation (1230) 1230
algorithms (1214) 1214
index medicus (1214) 1214
image classification (1183) 1183
analysis (1177) 1177
task analysis (1172) 1172
image processing (978) 978
artificial intelligence (955) 955
remote sensing (950) 950
computer architecture (939) 939
computer science (938) 938
computer vision (838) 838
segmentation (834) 834
telecommunications (829) 829
support vector machines (776) 776
kernel (731) 731
object detection (720) 720
visualization (720) 720
semantics (718) 718
transfer learning (694) 694
computational modeling (668) 668
imaging science & photographic technology (668) 668
object recognition (665) 665
learning (638) 638
deep convolutional neural network (626) 626
pattern recognition (610) 610
computer science, software engineering (556) 556
computer science, interdisciplinary applications (550) 550
image recognition (541) 541
recognition (533) 533
convolutional codes (529) 529
images (523) 523
engineering, biomedical (518) 518
radiology, nuclear medicine & medical imaging (506) 506
three-dimensional displays (485) 485
usage (482) 482
computer science - computer vision and pattern recognition (469) 469
image resolution (451) 451
face recognition (450) 450
deep convolutional neural networks (449) 449
cameras (446) 446
accuracy (445) 445
methods (445) 445
cnn (435) 435
computer science, theory & methods (435) 435
neurons (422) 422
databases (413) 413
data models (408) 408
medical imaging (406) 406
image color analysis (403) 403
image reconstruction (390) 390
data mining (386) 386
face (382) 382
instruments & instrumentation (379) 379
humans (376) 376
magnetic resonance imaging (368) 368
support vector machine (365) 365
image detection (362) 362
model (356) 356
optimization (350) 350
recurrent neural networks (349) 349
maschinelles lernen (343) 343
features (338) 338
cancer (327) 327
convolutional neural-networks (327) 327
detectors (326) 326
diagnosis (326) 326
machine vision (326) 326
sensors (320) 320
biological neural networks (319) 319
research (314) 314
fusion (312) 312
shape (304) 304
data sets (300) 300
merkmalextraktionsverfahren (297) 297
automation (293) 293
datasets (293) 293
estimation (292) 292
state of the art (288) 288
proposals (286) 286
conferences (284) 284
computed tomography (275) 275
computer-vision (273) 273
testing (271) 271
neural-networks (270) 270
representations (270) 270
more...
Language Language
Language Language
X
Sort by Item Count (A-Z)
Filter by Count
English (19015) 19015
Korean (65) 65
Japanese (40) 40
Chinese (35) 35
Turkish (16) 16
German (5) 5
Indonesian (5) 5
Russian (4) 4
French (3) 3
Arabic (1) 1
Estonian (1) 1
Polish (1) 1
Portuguese (1) 1
more...
Publication Date Publication Date
Click on a bar to filter by decade
Slide to change publication date range


2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2015, Volume 7-12-, pp. 806 - 814
Deep neural networks have achieved remarkable performance in both image classification and object detection problems, at the cost of a large number of... 
Convolutional codes | Accuracy | Neural networks | Redundancy | Sparse matrices | Matrix decomposition | Kernel | Computer vision | Algorithms | Cascades | Mathematical models | Central processing units | Pattern recognition
Conference Proceeding
Pattern Recognition, ISSN 0031-3203, 05/2018, Volume 77, pp. 354 - 377
In the last few years, deep learning has led to very good performance on a variety of problems, such as visual recognition, speech recognition and natural... 
Deep learning | Convolutional neural network | RECOGNITION | IMAGES | CLASSIFICATION | TERM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | VISUAL TRACKING | FEATURES | CNNS | ENGINEERING, ELECTRICAL & ELECTRONIC | Computer science | Language processing | Computational linguistics | Machine vision | Neural networks | Natural language interfaces
Journal Article
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), ISSN 2329-9290, 10/2014, Volume 22, Issue 10, pp. 1533 - 1545
Journal Article
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 12/2018, pp. 7794 - 7803
Conference Proceeding
Remote Sensing, ISSN 2072-4292, 07/2016, Volume 8, Issue 7, p. 594
A new pansharpening method is proposed, based on convolutional neural networks. We adapt a simple and effective three-layer architecture recently proposed for... 
Super-resolution | Segmentation | Convolutional neural networks | Multiresolution | Enhancement | Machine learning | DATA-FUSION | QUALITY | super-resolution | SPECTRAL RESOLUTION IMAGES | enhancement | machine learning | PAN-SHARPENING METHOD | REMOTE SENSING | multiresolution | segmentation | CONTRAST | convolutional neural networks | LANDSAT THEMATIC MAPPER
Journal Article
05/2017, Volume 60, Issue 6, 7
We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000... 
COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | COMPUTER SCIENCE, THEORY & METHODS | Convolutional codes | Control | Usage | Image processing | Neural networks | Methods
Magazine Article
Neurocomputing, ISSN 0925-2312, 01/2017, Volume 219, pp. 88 - 98
As a powerful visual model, convolutional neural networks (CNNs) have demonstrated remarkable performance in various visual recognition problems, and attracted... 
Deep learning | Convolutional neural networks | Hyperspectral image classification | BAND SELECTION | FOREWORD | REPRESENTATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | SPECIAL-ISSUE | Computer science | Neural networks | Analysis
Journal Article
Journal Article
Journal Article
IEEE Signal Processing Letters, ISSN 1070-9908, 09/2014, Volume 21, Issue 9, pp. 1120 - 1124
We investigate convolutional neural networks (CNNs) for large vocabulary distant speech recognition, trained using speech recorded from a single distant... 
AMI corpus | Convolution | Neural networks | Hidden Markov models | Speech recognition | Acoustics | Vectors | distant speech recognition | meetings | convolutional neural networks | deep neural networks | Microphones | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Transactions on Industrial Electronics, ISSN 0278-0046, 11/2016, Volume 63, Issue 11, pp. 7067 - 7075
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2015, Volume 8925, pp. 572 - 578
Conference Proceeding