First International Conference on Data Analytics & Learning-2018 (DAL'18)

The Topics of interest for submission of papers include but not limited to:

Track 1: Big Data Analytics and Parallel Computing

• Big Data Processing and the 4 V’s (Volume, Variety, Velocity, Veracity)

• Big Data and Data Analytics Systems and Software Architectures

• Compiler Technologies for High-Performance Computing

• Concurrent Algorithms such as Concurrent Data Structures

• Hybrid Parallel Programming with GPUs and Accelerators

Track 2: Bio-Medical Processing

• Bio-Informatics

• Computational Biology

• Magnetic Resonance Imaging

• Interpolation for Medical Imaging

• Hardware for Medical Processing

Track 3: Biometrics

• Face

• Fingerprint

• Hand

• Handwriting

• Iris

• Signature

• Voice

• Gait

• Other modalities as well as Biometric Fusion and Emerging Biometrics based on Novel Sensing Technologies

Track 4: Computer Vision

• Image Rectification

• Stereo Vision

• Object Detection

• Motion Estimation

• Camera Calibration

Track 5: Data Mining and Knowledge Discovery

• Machine Learning

• Text Mining

• Evolutionary Computing

• Ontologies

• Spatial Knowledge

• Machine Learning

• Rule Mining

• Intelligent Information

• Dynamic Programming

Track 6: Deep Learning

• Learning representations of outputs or states

• Applications in vision, audio, speech, natural language processing, robotics, neuroscience, or any other fields

Track 7: Document Image Analysis

• Document Analysis And Recognition

• Handwriting Analysis

• Character Recognition

• Language Recognition

• Multimedia Documents

• Text Document Processing

• Text Document Classification

Track 8: Image and Video Processing

• Image Compression

• Image Segmentation

• Image Enhancement

• Image Registration

• Image Mosaicing

• Video Databases

• Shot Boundary Detection

• Video Summarization

• Video Search & Retrieval

• Video Surveillance

• Event Detection in Videos

• Video Classification

• Text Detection in Video

Track 9: Machine Learning

• Conceptional learning

• Classification and Clustering Algorithms

• Feature Learning

• Support Vector Machines

• Neural Networks and its applications

Track 10: Multimedia Informartion Coding

• DCT Coding

• Water Marking

• Cryptography

• Steganography

• Data Hiding

• Teleradiology

• Index Coding

• Signal Encoding

• Indexing Documents

Track 11: Pattern Recognition and Classification

• Object Recognition

• Distance Measures

• Feature Extraction

• Defect Detection

• Shape Analysis

• Dimensionality Reduction

• Sign Language Recognition

Track 12: Soft Computing Techniques

• Data Representation

• Data Clustering

• Symbolic Data Analysis

• Fuzzy Data Analysis

• Soft Computing