By Pramod Kumar Pisharady,Prahlad Vadakkepat,Loh Ai Poh
This ebook offers a suite of computational intelligence algorithms that addresses matters in visible development acceptance resembling excessive computational complexity, abundance of development good points, sensitivity to dimension and form diversifications and terrible functionality opposed to complicated backgrounds. The publication has three elements. half 1 describes quite a few learn concerns within the box with a survey of the similar literature. half 2 offers computational intelligence dependent algorithms for characteristic choice and class. The algorithms are discriminative and quick. the most program region thought of is hand posture attractiveness. The publication additionally discusses application of those algorithms in different visible in addition to non-visual trend attractiveness projects together with face acceptance, common item popularity and melanoma / tumor category. half three provides biologically encouraged algorithms for characteristic extraction. The visible cortex version established beneficial properties mentioned have invariance with admire to visual appeal and dimension of the hand, and supply strong inter type discrimination. A Bayesian version of visible consciousness is defined that is potent in dealing with complicated heritage challenge in hand posture recognition.
The booklet presents qualitative and quantitative functionality comparisons for the algorithms defined, with different average tools in laptop studying and computing device imaginative and prescient. The ebook is self-contained with numerous figures, charts, tables and equations assisting the reader to appreciate the fabric provided with out instruction.
Read Online or Download Computational Intelligence in Multi-Feature Visual Pattern Recognition: Hand Posture and Face Recognition using Biologically Inspired Approaches (Studies in Computational Intelligence) PDF
Similar pattern recognition programming books
Iris Biometrics: From Segmentation to Template protection offers severe research, demanding situations and ideas on fresh iris biometric study themes, together with photograph segmentation, photograph compression, watermarking, complex comparators, template defense and extra. Open resource software program is usually supplied on a devoted web site together with characteristic extraction, segmentation and matching schemes utilized during this publication to foster clinical trade.
"Foundations of Large-Scale Multimedia details administration and Retrieval: arithmetic of notion" covers wisdom illustration and semantic research of multimedia facts and scalability in sign extraction, info mining, and indexing. The e-book is split into components: half I - wisdom illustration and Semantic research specializes in the main parts of arithmetic of conception because it applies to facts administration and retrieval.
A unified, coherent remedy of present classifier ensemble tools, from basics of trend popularity to ensemble characteristic choice, now in its moment version The artwork and technology of mixing trend classifiers has flourished right into a prolific self-discipline because the first version of mixing development Classifiers was once released in 2004.
This e-book is instrumental to development a bridge among scientists and clinicians within the box of backbone imaging by way of introducing state of the art computational tools within the context of scientific applications. backbone imaging through computed tomography, magnetic resonance imaging, and different radiologic imaging modalities, is vital for noninvasively visualizing and assessing spinal pathology.
- Engineering Applications of Neural Networks: 18th International Conference, EANN 2017, Athens, Greece, August 25–27, 2017, Proceedings (Communications in Computer and Information Science)
- Hyperspectral Data Compression
- Motion-Free Super-Resolution
- Computational Methods and Clinical Applications for Spine Imaging: Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI ... (Lecture Notes in Computer Science)
- Knowledge-Based Image Processing Systems (Applied Computing)
Additional info for Computational Intelligence in Multi-Feature Visual Pattern Recognition: Hand Posture and Face Recognition using Biologically Inspired Approaches (Studies in Computational Intelligence)