A Generic Object Detection Using a Single Query Image Without Training Abstract?A Generic Object Detection Using a Single Query Image Without Training. A method was developed to detect generic objects using a single query image. The query image could be a typical real image, a virtual image, or even a hand-drawn sketch of the…
A High Performance Fingerprint Matching System for Large Databases Based on GPU Abstract?A High Performance Fingerprint Matching System for Large Databases Based on GPU. Fingerprints are the biometric features most used for identification. They can be characterized through some particular elements called minutiae. The identification of a given fingerprint requires the matching of its minutiae…
A Hybrid Image Compression Scheme using DCT and Fractal Image Compression Abstract?A Hybrid Image Compression Scheme using DCT and Fractal Image Compression. We introduce a new way to use fractal coding for image compression, based on the parallel use of a fractal encoder and a DCT encoder. The two encoders are given the complementary roles…
A hybrid particle swarm optimization for feature subset selection byintegrating a novel local search strategy Abstract?tFeature selection has been widely used in data mining and machine learning tasks to make a modelwith a small number of features which improves the classifier?s accuracy. In this paper, a novel hybridfeature selection algorithm based on particle swarm optimization…
A Hybrid Wavelet Transform and Neural- Network-Based Approach for Modelling Dynamic Voltage-Current Characteristics of Electric Arc Furnace Abstract? A Hybrid Wavelet Transform and Neural- Network-Based Approach for Modelling Dynamic Voltage-Current Characteristics of Electric Arc Furnace. This paper proposes a discrete wavelet transform (DWT) and radial basis function neural network (RBFNN) based method for modeling the…
A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification Abstract? A joint segmentation and classi?cation framework for sentence-level sentiment classi?cation. It is widely recognized that phrasal information is crucial< Final Year Projects 2016 > critical for sentiment classi?cation. However, existing sentiment classi?cation algorithms typically split a sentence as a word sequence, which does…
A Kernel Clustering Algorithm With Fuzzy Factor: Application to SAR Image Segmentation Abstract?A Kernel Clustering Algorithm With Fuzzy Factor: Application to SAR Image Segmentation. The presence of multiplicative noise in synthetic aperture radar (SAR) images makes segmentation and classification difficult to handle. Although a fuzzy C-means (FCM) algorithm and its variants (e.g., the FCM_S, the…
A Low-Complexity, Sequential Video Compression Scheme Using Frame Differential Directional Filter Bank Decomposition in CIE La? b ? Color Space Abstract– In the first place, proposes a novel differential directional filter bank (DFB) decomposition-based video coding scheme. DFB decomposition is generally preceded by Laplacian pyramid decomposition, as in contourlet transform, in order to separate the…
A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition Abstract?This paper proposes a facial expression recognition system using evolutionary particle swarm optimization (PSO)-based feature optimization. The system first employs modified local binary patterns, which conduct horizontal and vertical neighborhood pixel comparison, to generate a discriminative initial facial representation. < final year projects...
A Modified Back propagation Learning Algorithm With Added Emotional Coefficients Abstract?Much of the research work into artificial intelligence (AI) has been focusing on exploring various potential applications of intelligent systems with successful results in most cases. In our attempts to model human intelligence< Final Year Project >by mimicking the brain structure and function, we…
A Multi-Classifier System for Automatic Mitosis Detection in Breast Histopathology Images Using Deep Belief Networks Abstract-Mitotic count is an important diagnostic factor in breast cancer grading and prognosis. Detection of mitosis in breast histopathology images is very challenging mainly due to diffused intensities along object boundary and shape variation in different stages of mitosis. This…
A new approach to video-Based traffic surveillance using Fuzzy Hybrid Information Inference Mechanism Abstract?This study proposes a new approach to video-based traffic surveillance using a fuzzy hybrid information inference mechanism (FHIIM). The three major contributions of the proposed approach are background updating, vehicle detection with block-based segmentation, and vehicle tracking with error compensation. During…