Hand selected research content, paper, class notes, projects etc material for Artificial intelligence and Deep Learning
- Week 1 : Introduction
- Week 2 : Image formation - Light and Color
- Week 3 : Image Processing
- Week 4 : Image Features and Matching
- Week 5 : Stereo Vision
- Week 6 : Clustering In Computer Vision
- Week 7 : Fundamental Matrix
- Week 8 : Image Segmentation
- Week 9 : ML in CV : Object Detection
- Week 10 : Morphological Image Processing
- Week 11 : Non Linear image Smoothing
- Week 12 : Image Analysis
- Epipolar Geometry
- Time Series to Fourier Transform Formula
- Frequency Domain Analysis and Fourier Transform
- Fourier Analysis for Periodic Functions
- Tutorial on Fourier Theory
- Gaussian 5x5 Convolution
- Adversarial training and dilated convolutions
- BoxNet: Deep Learning Based Biomedical Image 2018.pdf
- Deep learning and its application to medical image segmentation 2018.pdf
- Semantic Segmentation using Adversarial Networks 201.pdf
- Semi Supervised Semantic Segmentation Using Generative Adversarial Network ICCV17
- Deep Adversarial Networks For Biomedical Imaging
- Interpretability of ML in Medical Imaging
Introduction. Brief history of NLP research, current applications, components of NLP systems. Finite-state techniques. Inflectional and derivational morphology, finite-state automata in NLP, finite-state transducers. Prediction and part-of-speech tagging. Corpora, simple N-grams, word prediction, stochastic tagging, evaluating system performance. Context-free grammars and parsing. Generative grammar, context-free grammars, parsing with context-free grammars, weights and probabilities. Limitations of context-free grammars. Constraint-based grammars. Constraint-based grammar, unification.
Compositional semantics. Simple compositional semantics in constraint-based grammar. Compositional semantics with lambda calculus. Inference and robust entailment.
Lexical semantics. Semantic relations, WordNet, word senses, word sense disambiguation.
Distributional semantics Representing lexical meaning with distributions. Similarity metrics. Clustering.
Discourse and dialogue. Anaphora resolution, discourse relations.
Language generation Realization as inverse of parsing. N-grams and fluency. Text simplification.
Computational psycholinguistics: modelling human language use
Applications. Examples of practical applications of NLP techniques.
LexicalProcessing 1 : Lemmatization, Automata and Transducers | Chapter 2 & 3 : JM '09
LexicalProcessing 2 : Tokenization, Normalization, and Stemming | Chapter 2 : JM '09
Minimum Edit Distance | Chapter 3 : JM '09
Language Modelling (with n-grams) | Chapter 4 : JM '09
POS Tagging| Chapter 5 & 6 : JM '09 | Chapter 9 & 10 : MS
N-gram Modelling Continued | Chapter 4 : JM '09 | Chapter 6: MS
NLP with Neural Network : Part 1 | Chapter 9 : JM '17
Speech Recognition | Chapter 9 : JM ' 00
Formal Grammars | Chapter 12 : JM ' 00
Parsing 1 | Chapter 13 : JM '09
Parsing 2 | Chapter 13 : JM '09
Parsing 3 | Chapter 13 : JM '09
Representation of Meaning | Chapter 17 : JM '09
Computational Semantics 1 | Syntax-Semantics Interface | Chapter 18 : JM '09
Computational Semantics 2 | A Syntax-Semantics Interface in Prolog
Computational Semantics 3 | Questions and Gap Threading
Computational Semantics 4| Generalized quantifiers and scope ambiguity | Chapter 18 : JM '09
Computational Lexical Semantics | Chapter 19 : JM '09
Machine Translation | Chapter 25 : JM '25
- Jurafsky & Martin 2009. Speech and language processing
- Manning and Schutze 2000. Foundations of statistical natural language processing , The MITPress. book available here
- Bender 2013 Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax Synthesis Lectures on Human Language Technologies , Morgan and Claypool Publishers. book available here
- Ojeda 2013 A Computational Introduction to Linguistics – Describing Language in plain Prolog, University of Chicago Press.
- (Blackburn, Bos & Striegnitz 2008 Learn Prolog Now!)[http://cs.union.edu/~striegnk/learn-prolog-now/lpnpage.php?pageid=online]
- (Wilcock 2004 A Practical Introduction to Prolog and Computational Linguistics)[http://www.ling.helsinki.fi/kit/2004k/ctl272/Bangor/clbook.html]