/papers

A list of paper, books and sites for various different topics related to machine learning and deep learning along with various field in which it is implemented

Basics of machine learning and deep learning and its application in various fields.

  1. True understanding is making all parts of a concept so clear and vivid as if they are objects in front of you that you can manipulate as you wish.
  2. This repository contains a list various tasks that can be achieved with Machine Learning/Deep Learning.
  3. It doesn't contain any benchmark paper because I love in doing new things rather than improving previous research.

Pull Requests are welcome to add any new blog, paper, site link.

Theory:

Scikit Learn is a wonderful library for implementing basic machine learning tasks.

Naive Bayes:
  • Basics of naive bayes with term frequency and inverse document frequecy intuition [site]
SVC:

Deep Learning:

Applications:

Keyword Spotting system / Wake-word detection

  • Small-footprint keyword spotting using deep neural networks [paper]
  • Convolutional Neural Networks for Small-footprint Keyword Spotting [paper]
  • A hidden Markov model based keyword recognition system [paper]

Voice activity detection

  • A simple but effective real-time voice activity detection algorithm [paper]
  • Recurrent neural networks for voice activity detection [paper]

Speech recognition and acoustic modeling

  • Training LVCSR systems on thousands of hours of data [paper]
  • Applying CNN on hybrid NN-HMM model for speech recognition [paper]
  • Convolutional Neural Networks for Speech Recognition [paper]
  • Long Short-Term Memory Recurrent Neural Network Architectures for Large Scale Acoustic Modeling [paper]
  • Understanding how deep beleif networks perform acoustic modelling [paper]

Activity Detection

  • Identifying Types of Physical Activity With a Single Accelerometer: Evaluating Laboratory-trained Algorithms in Daily Life [paper]
  • A Study on Human Activity Recognition Using Accelerometer Data from Smartphones [paper]
  • A Practical Approach to Recognizing Physical Activities [paper]

Face-recognition using FPGA

  • A self-configurable systolic architecture for face recognition system based on principal component neural network [paper]

Text Classification

  • Support Vector Machines and Word2vec for Text Classification with Semantic Features [paper]

Time Series Analysis

  • An Introductory Study on Time Series Modeling and Forecasting [paper]

Retinal vessel segmentation

  • Retinal Vessel Segmentation Using Deep Neural Networks [paper]
  • Segmenting Retinal Blood Vessels With Deep Neural Networks [paper] [implementation]
  • Retinal Vessel Segmentation Using the 2-D Gabor Wavelet and Supervised Classification[paper]

Object Classification and Recognition

Neural Talk 2

Neural VQA

Genre Classification