M Tech / PhD Thesis and Research Help service is offered M Tech/PhD scholars, we provide complete M.Tech/PhD Thesis Help to candidates in Punjab India. The M.Tech/PhD Thesis Help service offered at E2Matrix are specialized in their own way to be able to ensure that a holistic consultation is provided to the clients. The challenges in the process of research are numerous. It often becomes difficult to be able to ensure timely submission of thesis in the light of these challenges. We provide assistance with M Tech / PhD Thesis and Research Help including consulting on M.Tech/PhD Synopsis, Statistical Analysis, Implementation/Simulation, Tips on drafting of chapters and Editing services.

1. E2MATRIX RESEARCH LAB
Contact: +91 9041262727
Web: www.e2matrix.com
IEEE PROJECTS LIST
2016
E2MATRIX RESEARCH LAB
CONTACT: +91 9041262727, 9779363902
E2MATRIX | Opp. Bus Stand, Backside Axis Bank, Parmar Complex, Phagwara, Punjab (INDIA)

2. E2MATRIX RESEARCH LAB
Contact: +91 9041262727
Web: www.e2matrix.com
IEEE BASED VLSI PROJECT LIST 2016-17
PROJECT NAME
Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust
Representation and Visual Classification
A Compressive Multi-Frequency Linear Sampling Method for Underwater Acoustic Imaging
Antipodally Invariant Metrics for Fast Regression-Based Super-Resolution
Instance-Aware Hashing for Multi-Label Image Retrieval
An Optical Flow-Based Full Reference Video Quality Assessment Algorithm
Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation
Contrast Driven Elastic for Image Segmentation
Fast and Provably Accurate Bilateral Filtering
Text-Attentional Convolutional Neural Network for Scene Text Detection
Cross-View Action Recognition via Transferable Dictionary Learning
Multiple Kernel Sparse Representation based Orthogonal Discriminative Projection
and Its Cost-Sensitive Extension

3. E2MATRIX RESEARCH LAB
Contact: +91 9041262727
Web: www.e2matrix.com
Adaptive Quantization Parameter Cascading in HEVC Hierarchical Coding
Representation Learning of Temporal Dynamics for Skeleton-Based Action Recognition
Postprocessing of Compressed Images via Sequential Denoising
Joint Data Filtering and Labelling Using Gaussian Processes and Alternating Direction Method of
Multipliers
Multi-Tissue Decomposition of Diffusion MRI Signals via L0 Sparse-Group Estimation
Feature Quality Based Dynamic Feature Selection for Improving Salient Object Detection
Single Image Super Resolution using a Joint GMM Method
Deep and Structured Robust Information Theoretic Learning for Image Analysis
Double Low Rank Matrix Recovery for Saliency Fusion
Estimation of Gaussian, Poissonian-Gaussian, and Processed Visual Noise and its Level Function
Low-Rank Decomposition Based Restoration of Compressed Images via Adaptive Noise
Estimation
Separation Surfaces in the Spectral TV Domain for Texture Decomposition
Automatic Reference Color Selection for Adaptive Mathematical Morphology and Application in
Image Segmentation
Backward Registration Based Aspect Ratio Similarity (ARS) for Image Retargeting
Quality Assessment
Blind Image Quality Assessment based on High Order Statistics Aggregation
Computationally Efficient Truncated Nuclear Norm Minimization for High Dynamic Range
Imaging
Blind Deblurring and Denoising of Images Corrupted by Unidirectional Object Motion Blur and
Sensor Noise
Video Extrapolation Method Based on Time-Varying Energy Optimization And CIP

4. E2MATRIX RESEARCH LAB
Contact: +91 9041262727
Web: www.e2matrix.com