Scrupulous SCGAN Framework for Recognition of Restored Images with Caffe based PCA Filtration

Khushboo Agarwal,Manish Dixit

#Computer vision #face recognition #image restoration #occlusions #pre-processing #spatial information #PCA #GAN networks

Medical Image Registration and Fusion Using Principal Component Analysis

Meisen Pan,Jianjun Jiang,Fen Zhang,Qiusheng Rong

#Centroids #image registration #principal component analysis #image fusion

Pattern Recognition Using the Concept of Disjoint Matrix of MIMO System

Mezbahul Islam,Rahmina Rubaiat,Imdadul Islam,Mostafizur Rahaman,Mohamed Ruhul Amin

#Uncoupled MIMO links #eigenvalues #unitary matrix #noise and channel matrix

A Novel Spam Classification System for E-Mail Using a Gradient Fuzzy Guideline-Based Spam Classifier (GFGSC)

Vinoth Narayanan Arumugam Subramaniam,Rajesh Annamalai

#Spam e-mail #principal component analysis #latent semantic analysis #information gain #chi-square #gradient fuzzy guideline-based spam classifier #MATLAB tool

253

Preecha Somwang1, 2 and Woraphon Lilakiatsakun2 1Office of Academic Resources and Information Techno logy, Rajamangala University

# IDS # network security # PCA # SFAM

# Fuzzy apriori # feature selection # particle swarm # credit scoring

Face Image Super ResolutionviaAdaptive-Block PCA

and Technology University,China

#SR #face image # adaptive-block # PCA

Nouhoun Kane, Khalid Aznag, Ahmed El Oirrak, and Mo hammed Kaddioui

#

Encryption Quality Measurement of a Proposed

#

A Survey: Face Recognition Techniques under Partial Occlusion

Department of Computer Science, COMSATS Institute o f Information Technology, Pakistan

# FR # part based methods # feature based methods # frac tal-based methods # partial occlusion # recognition rates

Combination of Multiple Classifiers for Off-Line Handwritten Arabic Word Recognition

Algeria

#Handwritten Arabic word recognition # Classifier combination # Support vector machine # Fuzzy K-nearest neighbor # Discrete cosine transform # Histogram of oriented gradients

Assessment of Ensemble Classifiers Using the Bagging

Hassan Mohamed1, Abdelazim Negm1, Mohamed Zahran2, and Oliver Saavedra3 1Department of Environmental Engineering, Egypt-Japan University of Science and Technology, Egypt 2Department of Geomatics Engineering, Benha University, Egypt 3Department of Civil Engineering, Tokyo Institute of Technology, Japan

#Bagging; classification; ensemble; landsat satellite magery

Local Directional Pattern Variance (LDPv): A Robust Feature Descriptor for Facial

Hasanul Kabir, Taskeed Jabid, and Oksam Chae

# Facial expression recognition # feature descriptor # LDP # LDPv # PCA # SVM classifier

A Robust Segmentation Approach for Noisy Medical Images Using Fuzzy Clustering With Spatial Probability

Abstract: Image segmentation plays a major role in medical im aging applications. During last decades, developing robust

# Image segmentation # medical images # Magnetic Resona nce Imaging (MRI) # clustering # FCM # histogram # membership function # spatial probability # denoising # Principal Component Analysis (PCA) # Local Pixel G rouping (LPG)

A Survey: Linear and Nonlinear PCA Based

Jamal Hussain Shah, Muhammad Sharif, Mudassar Raza, and Aisha Azeem

#Linear # non-linear # PCA # 2DPCA # 2DKPCA # facial features extraction # face recognition # survey

A Novel Face Recognition System by the Combination of Multiple Feature Descriptors

Nageswara Reddy1, Mohan Rao2, and Chittipothula Satyanarayana1 1Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, India 2Department of Computer Science and Engineering, Avanthi Institute of Engineering and Technology,

#Face recognition system # LBP # LVP # GLVP # ELM

Contactless Palmprint Verification System using 2-D Gabor Filter and Principal Component

Analysis

#Biometric # palmprint # 2-D gabor filter # PCA

A New Application for Gabor Filters in Face-Based Gender Classification

Ebrahim Al-Wajih and Moataz Ahmed

#Gabor filters # gender recognition # statistical features # PCA

Encoding Gene Expression Using Deep Autoencoders for Expression Inference

Raju Bhukya

#Deep autoencoder # gene expression # internal covariance shift # machine learning # MLP # PCA