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Improved subsampled randomized hadamard transform for linear SVM
Zijian Lei
,
Liang Lan
Department of Computer Science
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
4
Citations (Scopus)
Overview
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Dive into the research topics of 'Improved subsampled randomized hadamard transform for linear SVM'. Together they form a unique fingerprint.
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Keyphrases
Linear SVM
100%
Subsampled Randomized Hadamard Transform
100%
Random Projection
50%
Low-dimensional Embedding
25%
Machine Learning
12%
Popular
12%
High Dimension
12%
Sampling Methods
12%
Machine Learning Tasks
12%
Non-uniform Sampling
12%
Data Independence
12%
Real-life Dataset
12%
Specific Properties
12%
Data Matrix
12%
High Classification Accuracy
12%
SVM Classification
12%
Uniform Sampling
12%
Walsh-Hadamard Transform
12%
Importance Sampling
12%
Column Sampling
12%
Computer Science
Support Vector Machine
100%
Hadamard Transform
100%
Random Projection
44%
Machine Learning
22%
Learning System
22%
Uniform Sampling
22%
Experimental Result
11%
Classification Accuracy
11%
High Dimensionality
11%
Dimensional Space
11%
Dimensional Data
11%
Data Matrix
11%
Importance Sampling
11%
Mathematics
Hadamard Transform
100%
Projection Method
37%
Matrix (Mathematics)
25%
Dimensional Data
12%
Dimensional Space
12%
Input Data
12%
Learning Task
12%
Nonuniform
12%
Real Life
12%
Walsh-Hadamard Transform
12%
Importance Sampling
12%