Results 1-14 of 14
[ABSTRACT] Regenerating codes (RGCs) have recently been proposed to reduce the repair traffic of (n, k) erasure-coded distributed storage systems. Moreover, R...
[KEYWORDS] Regenerating codes; scalable distributed storage; redundancy upgrade; upgrade bandwidth; CONSTRUCTION; SYSTEMS
[ABSTRACT] Fractional repetition codes are a class of distributed storage codes dedicated to optimize the node repair performance, i.e., they enable uncoded e...
[KEYWORDS] Heterogenous storage system; general fractional repetition code; repair bandwidth; combinatorial designs; DISTRIBUTED STORAGE-SYSTEMS; LOCALITY; REPAIR
[ABSTRACT] The Web images and videos are often downsampled and compressed to save the bandwidth and storage. Hence, the low-quality and low-resolution Web ima...
[KEYWORDS] Super-resolution; upsampling; deblocking; INVARIANT TEXTURE CLASSIFICATION; SINGLE-IMAGE; SPARSE REPRESENTATION; KERNEL REGRESSION; SUPER RESOLUTION; RECONSTRUCTION; INTERPOLATION; DEBLOCKING; VIDEO
期刊文章
IEEE ACCESS
2018
[ABSTRACT] Knowledge distillation (KD) is a powerful technique that enables a well-trained large model to assist a small model. However, KD is constrained in ...
[KEYWORDS] Bidirectional model assistance; collaborative learning; deep neural networks; mutual knowledge base; NEURAL-NETWORKS; DEEP; SIMILARITY
期刊文章
IEEE ACCESS
2018
[ABSTRACT] Compressive sensing (CS) has drawn an enormous amount of attention in recent years due to its sub-Nyquist sampling rate and low-complexity requirem...
[KEYWORDS] Compressive sensing; deep learning; alternate direction method of multipliers (ADMM); convolutional neural network (CNN); image reconstruction; THRESHOLDING ALGORITHM
[ABSTRACT] A phase change memory (PCM) model suitable for neuromorphic circuit simulations is developed. A crystallization ratio module is used to track the m...
[KEYWORDS] MEMRISTIVE NEURAL-NETWORKS; SYNCHRONIZATION; 0812 计算机科学与技术（可授工学、理学学位）;08 工学;0810 信息与通信工程;
期刊文章
IEEE ACCESS
2019
[ABSTRACT] Heterogeneous Internet of Things (IoT) and multi-access mobile edge computing (MA-MEC) are believed as supporting technologies for building a smart...
[KEYWORDS] Physical layer security; encryption-based security; multi-access mobile edge computing (MA-MEC); heterogeneous Internet of Things (IoT); smart city
[ABSTRACT] Converting a single low dynamic range (LDR) image into a high dynamic range (HDR) image, which is the so-called inverse tone mapping (ITM), is a ch...
[KEYWORDS] High dynamic range; decomposition; inverse tone mapping; compression artifacts removal; deep learning
期刊文章
IEEE ACCESS
2019
[ABSTRACT] Scene text detection (STD) is an irreplaceable step in a scene text reading system. It remains a more challenging task than general object detectio...
[KEYWORDS] Scene text detection; multi-oriented text; segmentation network; contextual attention; gradient vanishing/exploding problems
[ABSTRACT] After the works on High Efficiency Video Coding (HEVC) standard, the standard organizations continued to study the next generation of video coding ...
[KEYWORDS] KLT; transform; video coding; VVC; HEVC
[ABSTRACT] Video frame interpolation aims at synthesizing new video frames in-between existing frames to generate higher frame rate video. Current methods usu...
[KEYWORDS] Video frame interpolation; multiple frames; spatio-temporal information; optical flow; coarse-to-fine framework; deep learning
期刊文章
IEEE ACCESS
2018
[ABSTRACT] Existing action detection algorithms usually generate action proposals through an extensive search over the video at multiple temporal scales, whic...
[KEYWORDS] Video analysis; temporal action detection; deep reinforcement learning; deep learning; self adaptive; ACTION RECOGNITION; TRAJECTORIES
[ABSTRACT] As a key problem in artificial intelligence, question answering (QA) has always been a topic of intensive research. Most existing methods cast ques...
[KEYWORDS] 0812 计算机科学与技术（可授工学、理学学位）;0810 信息与通信工程;
[ABSTRACT] A portion of the data in video captioning datasets are noisy and unsuitable for models to learn at early stages, e.g., there could be a generic 4-w...
[KEYWORDS] 0812 计算机科学与技术（可授工学、理学学位）;0810 信息与通信工程;0401 教育学;
Results 1-14 of 14
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Data Facts
Keyword
- 4 deep learning
- 1 0812 计算机科学与技术（可授工学、理学学位）;08 工学;08...
- 1 0812 计算机科学与技术（可授工学、理学学位）;0810 信息与...
- 1 0812 计算机科学与技术（可授工学、理学学位）;0810 信息与...
- 1 ACTION RECOGNITION
- 1 alternate direction method of m...
- 1 Bidirectional model assistance
- 1 coarse-to-fine framework
- 1 collaborative learning
- 1 combinatorial designs
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ISSN
- 14 2169-3536
Content Type
- 14 Journal
Language
- 14 English