feature selection
547 papers with code • 0 benchmarks • 1 datasets
Benchmarks
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Libraries
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Most implemented papers
Free-Form Image Inpainting with Gated Convolution
JiahuiYu/generative_inpainting
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ICCV 2019
We present a generative image inpainting system to complete images with free-form mask and guidance.
A Light CNN for Deep Face Representation with Noisy Labels
This paper presents a Light CNN framework to learn a compact embedding on the large-scale face data with massive noisy labels.
X3D: Expanding Architectures for Efficient Video Recognition
facebookresearch/SlowFast
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CVPR 2020
This paper presents X3D, a family of efficient video networks that progressively expand a tiny 2D image classification architecture along multiple network axes, in space, time, width and depth.
SPSA-FSR: Simultaneous Perturbation Stochastic Approximation for Feature Selection and Ranking
After a review of the current state-of-the-art, we discuss our improvements in detail and present three sets of computational experiments: (1) comparison of SPSA-FS as a (wrapper) feature selection method against sequential methods as well as genetic algorithms, (2) comparison of SPSA-FS as a feature ranking method in a classification setting against random forest importance, chi-squared, and information main methods, and (3) comparison of SPSA-FS as a feature ranking method in a regression setting against minimum redundancy maximum relevance (MRMR), RELIEF, and linear correlation methods.
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
Recent years have witnessed an explosion of user-generated content (UGC) videos shared and streamed over the Internet, thanks to the evolution of affordable and reliable consumer capture devices, and the tremendous popularity of social media platforms.
Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing
The study of genetic variants can help find correlating population groups to identify cohorts that are predisposed to common diseases and explain differences in disease susceptibility and how patients react to drugs.
Feature Selective Anchor-Free Module for Single-Shot Object Detection
open-mmlab/mmdetection
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CVPR 2019
The general concept of the FSAF module is online feature selection applied to the training of multi-level anchor-free branches.
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
reczoo/RecZoo
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As such, many two-stream interaction models (e. g., DeepFM and DCN) have been proposed by integrating an MLP network with another dedicated network for enhanced CTR prediction.
Fast and accurate sentiment classification using an enhanced Naive Bayes model
We have explored different methods of improving the accuracy of a Naive Bayes classifier for sentiment analysis.
Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIs
Brain-computer interfaces (BCIs) have been gaining momentum in making human-computer interaction more natural, especially for people with neuro-muscular disabilities.
