Skip to main navigation
Skip to search
Skip to main content
TU Delft Research Portal Home
Help & FAQ
Home
Research units
Researchers
Research output
Datasets
Projects
Equipment
Press/Media
Prizes
Activities
Search by expertise, name or affiliation
Binary Deep Learning: Binary Weights and Semantic Binary Data Compression
Y. Li
Pattern Recognition and Bioinformatics
Research output
:
Thesis
›
Dissertation (TU Delft)
51
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Binary Deep Learning: Binary Weights and Semantic Binary Data Compression'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Deep Learning
100%
Semantics
100%
binarization
100%
Data Compression
100%
Deep Neural Network
60%
High Dimensional Data
60%
Model
40%
Neural Network Model
40%
Accuracy
40%
Hashing Algorithm
20%
Computation
20%
Transmission Capacities
20%
Data Item
20%
Speed-up
20%
Energy Consumption
20%
Computational Complexity
20%
Storage Capacity
20%
Similarity Search
20%
Hashing Method
20%
Mobile Device
20%
Database
20%
Constrained Device
20%
Data Representation
20%
Algorithms
20%
INIS
compression
100%
weight
100%
learning
100%
data
100%
neural networks
42%
efficiency
28%
storage
28%
accuracy
28%
devices
28%
algorithms
28%
increasing
14%
mobile phones
14%
capacity
14%
energy
14%
processing
14%
calculation methods
14%
optimization
14%
speed
14%
resources
14%
trains
14%
transmission
14%
energy consumption
14%
Keyphrases
Binary Semantics
100%
Binary Data Compression
100%
Data Binning
40%
Similarity Retrieval
20%
Fast Similarity Search
20%
Processing Complex
20%
Hash Algorithm
20%
Memory Saving
20%
Binarization Method
20%
Efficient Similarity Search
20%
Chemical Engineering
Deep Learning
100%
Deep Neural Network
100%