By Sabu M. Thampi, Alexander Gelbukh, Jayanta Mukhopadhyay
ISBN-10: 3319049593
ISBN-13: 9783319049595
ISBN-10: 3319049607
ISBN-13: 9783319049601
This edited quantity encompasses a collection of refereed and revised papers initially provided on the overseas Symposium on sign Processing and clever acceptance structures (SIRS-2014), March 13-15, 2014, Trivandrum, India. this system committee acquired 134 submissions from eleven international locations. every one paper was once peer reviewed by means of at the least 3 or extra self reliant referees of this system committee and the fifty two papers have been eventually chosen. The papers supply stimulating insights into trend attractiveness, desktop studying and Knowledge-Based structures sign and Speech Processing photograph and Video Processing cellular Computing and functions and machine imaginative and prescient. The e-book is directed to the researchers and scientists engaged in numerous box of sign processing and similar components.
Read or Download Advances in Signal Processing and Intelligent Recognition Systems PDF
Similar intelligence & semantics books
Evolutionary layout of clever structures is gaining a lot recognition because of its functions in dealing with a number of actual international difficulties regarding optimization, complexity, noisy and non-stationary atmosphere, imprecision, uncertainty and vagueness. This edited quantity 'Engineering Evolutionary clever platforms' bargains with the theoretical and methodological features, in addition to quite a few evolutionary set of rules purposes to many actual international difficulties originating from technology, expertise, company or trade.
Read e-book online Natural Language Understanding PDF
From a number one authority in synthetic intelligence, this ebook supplies a synthesis of the key sleek concepts and the most up-tp-date study in usual language processing. The process is exclusive in its insurance of semantic interpretation and discourse along the foundational fabric in syntactic processing.
A Concise Introduction to Multiagent Systems and Distributed by Nikos Vlassis PDF
Multiagent platforms is an increasing box that blends classical fields like online game concept and decentralized keep an eye on with glossy fields like laptop technology and laptop studying. This monograph offers a concise creation to the topic, protecting the theoretical foundations in addition to more moderen advancements in a coherent and readable demeanour.
Get The Turing Test and the Frame Problem: Ai's Mistaken PDF
Either the Turing attempt and the body challenge were major goods of dialogue because the Seventies within the philosophy of man-made intelligence (AI) and the philisophy of brain. notwithstanding, there was little attempt in the course of that point to distill how the body challenge bears at the Turing attempt. If it proves to not be solvable, then not just will the try now not be handed, however it will name into query the belief of classical AI that intelligence is the manipluation of formal constituens below the keep watch over of a application.
Extra info for Advances in Signal Processing and Intelligent Recognition Systems
Example text
I =1 i The objective of FLD is to find the direction in which between-Class scatter (Sb) is maximized and within-Class scatter (Sw) is minimized as given in (3). J fld = T arg max W S b W W W TS W w (3) But in practice, due to few available samples and high dimensionality, Sw becomes singular. To overcome this limitation, some variants of FLD are proposed in literature as discussed next. Fisherfaces Fisherfaces [3] is a popular variant of FLD method. In this method, first the dimensionality of the data samples is reduced using PCA and then FLD criterion is applied in the reduced dimension for feature extraction.
The results clearly show the advantage of block based feature extraction over whole image based. 3 Discussion In this work, distance calculation for classification is carried out without considering the variations in the feature values. When features are combined, better results can be obtained with normalized feature vector. Feature reduction methods like PCA can also be applied on combined features. Improved results with block based images can be attributed to the fact that local features are more discriminating than Ear Recognition Using Texture Features – A Novel Approach 11 global features of non - blocked images.
448–453 (1995) 16. : A survey of binary similarity and distance measures. Journal of Systemics, Cybernetics and Informatics 8(1), 43–48 (2010) 17. : Toward a universal law of generalization for psychological science. Science 237, 1317–1323 (1987) 18. : Face recognition: A literature survey. K. Agrawal, and Ajay Jaiswal Abstract. In the literature, the performance of Fisher's Linear Discriminant (FLD), Linear Regression (LR) and their variants is found to be satisfactory for face recognition under illumination variation.
Advances in Signal Processing and Intelligent Recognition Systems by Sabu M. Thampi, Alexander Gelbukh, Jayanta Mukhopadhyay
by Jeff
4.2