By Sabu M. Thampi, Alexander Gelbukh, Jayanta Mukhopadhyay
This edited quantity incorporates a choice of refereed and revised papers initially awarded on the overseas Symposium on sign Processing and clever reputation structures (SIRS-2014), March 13-15, 2014, Trivandrum, India. this system committee bought 134 submissions from eleven international locations. each one paper was once peer reviewed by means of at the very least 3 or extra self sufficient referees of this system committee and the fifty two papers have been ultimately chosen. The papers provide stimulating insights into development popularity, laptop studying and Knowledge-Based platforms sign and Speech Processing picture and Video Processing cellular Computing and functions and computing device imaginative and prescient. The publication is directed to the researchers and scientists engaged in quite a few box of sign processing and similar components.
Read or Download Advances in Signal Processing and Intelligent Recognition Systems PDF
Similar intelligence & semantics books
Linear classifiers in kernel areas have emerged as an incredible subject in the box of computing device studying. The kernel approach takes the linear classifier--a constrained, yet well-established and comprehensively studied model--and extends its applicability to a variety of nonlinear pattern-recognition projects reminiscent of ordinary language processing, desktop imaginative and prescient, and organic series research.
A tremendous element of multi agent platforms are agent reasoning recommendations for challenge fixing, both on the point of a unmarried agent or on the point of disbursed collaboration among a number of brokers. Constraint delight difficulties are major within the area of automatic reasoning for synthetic intelligence.
Ambient Intelligence (AmI) is a up to date paradigm rising from man made Intelligence (AI), the place desktops are used as proactive instruments helping individuals with their day by day actions, making everyone’s existence more well-off. one other major crisis of AmI originates from the human computing device interplay area and makes a speciality of providing how one can have interaction with structures in a extra traditional means by means of potential consumer pleasant interfaces.
This quantity offers demanding situations and possibilities with up-to-date, in-depth fabric at the software of huge information to complicated platforms as a way to locate suggestions for the demanding situations and difficulties dealing with great information units functions. a lot information at the present time isn't really natively in established structure; for instance, tweets and blogs are weakly established items of textual content, whereas pictures and video are based for garage and exhibit, yet now not for semantic content material and seek.
- Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
- Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing
- Automated deduction -- CADE-21: 21st International Conference on Automated Deduction, Bremen, Germany, July 17-20, 2007 : proceedings
- Towards Modern Collaborative Knowledge Sharing Systems
Extra resources for Advances in Signal Processing and Intelligent Recognition Systems
1007/978-3-319-04960-1_4, © Springer International Publishing Switzerland 2014 33 34 S. Karuppusamy and J. , which are commonly encountered in videos. They also require large number of training images for better recognition performance which is not possible for real world applications. , 2009) are considered as most representative methods. In LRC, the test image is represented using class specific linear subspace models by least squares estimation method. The face is identified based on distance between test image and reconstructed image.
EFLD performs best among all the methods on all the datasets. 2. The performance of various methods in general increases or remains same with the increase in number of training images per person. 3. There is less variation in classification accuracy among LR, Fisherfaces and their variants on JAFFE and FEEDTUM datasets. 4. The performance of FLD is worst for all the datasets. 5. The variation in performance of LR based methods is less in comparison to FLD based methods. 5 Conclusion In literature, FLD, LR and their many variants are proposed for face recognition under illumination and pose variations.
Jaiswal Robust Regression Robust Regression  plays an important role when the issues of contamination of test images by variations such as expression variation in facial images of different people are present. e. r j (δˆ i ) = y − X i δˆ i , i = 1, 2, …, C and ρ is a symmetric function having minimum at zero. Once the regression coefficients are determined, the rest of the method follows similar procedure as LRC. e. ORL , JAFFE  and FEEDTUM . The details of the datasets are summarized in Table 1.