By Abdelhamid Bouchachia (eds.)

This booklet constitutes the lawsuits of the foreign convention on Adaptive and clever platforms, ICAIS 2014, held in Bournemouth, united kingdom, in September 2014. the nineteen complete papers integrated in those complaints including the abstracts of four invited talks, have been conscientiously reviewed and chosen from 32 submissions. The contributions are geared up below the next topical sections: advances in function choice; clustering and type; adaptive optimization; advances in time sequence analysis.

Show description

Read or Download Adaptive and Intelligent Systems: Third International Conference, ICAIS 2014, Bournemouth, UK, September 8-10, 2014. Proceedings PDF

Similar international_1 books

Semiconductor Superlattices and Interfaces. Proceedings of the International School of Physics “Enrico Fermi”

This booklet is anxious with the dynamic box of semiconductor microstructures and interfaces. numerous subject matters within the basic homes of interfaces, superlattices and quantum wells are integrated, as are papers on development recommendations and purposes. The papers care for the interplay of idea, experiments and functions in the box, and the exceptional contributions are from either the educational and commercial worlds

Linking Local and Global Sustainability

The e-book takes a holistic method of sustainability. Acknowledging the Brundtland definition, that sustainable improvement meets the desires of the current with no compromising the facility of destiny generations to satisfy their very own wishes, the publication is in particular involved in the ethics of up to date social and environmental sustainability job and considering.

On Equal Terms: Redefining China's Relationship with America and the West

An insightful examine the way forward for China's kinfolk with the West and the U.S. For a person who desires to higher comprehend China and its fiscal and political family members to the West, On equivalent phrases bargains front-row perception. Exploring China's state-capitalist financial version and the original traits and beliefs of chinese language tradition which may make tricky for Westerners to appreciate its method of company interactions, the booklet appears to be like to the long run, explaining how China and the USA can cooperate to unravel a few of the world's significant difficulties.

Additional resources for Adaptive and Intelligent Systems: Third International Conference, ICAIS 2014, Bournemouth, UK, September 8-10, 2014. Proceedings

Example text

From experimental results, we can conclude that the AGGM outperform the two other methods for scene categorization. Furthermore, we found that using images from all classes at once for training has higher efficiency because it takes account of discriminative information between different classes. Table 1. 86% 38 T. Elguebaly and N. Bouguila (a) (b) (c) (d) (e) (f) (g) (h) Fig. 1. Sample images from the SUN dataset; First Row: (a) Abbey, (b) Airplane cabin, (c) Airport terminal, (d) Alley, (e) Amusement arcade, (f) Amusement park, (g) Apartment building, (h) Apse; Second Row: (a) Aquarium, (b) Cabin, (c) Candy store, (d) Office, (e) Oilrig, (f) Parking Garage, (g) Raft, (h) Village 4 Conclusion In this study, an improved visual vocabulary approach is implemented for extracting important keypoints in scenes.

4 Baseline Method To quantify the performance of the HMMDM classifier, a baseline method using an NN classifier is implemented. The Bhattacharyya distance between two histograms G and H d(G, H) = 1− G(i) i H(i) , (1) 24 E. Epaillard, N. Bouguila, and D. Ziou where i denotes the bin number [7], can be straightforwardly generalized to series of N histograms by d(GN , HN ) = 1 1− N N Gn (i) Hn (i) . n=1 (2) i The number of histograms in our case is equal to the number of patches in the image. However, this distance, denoted BD1 later, is clearly not robust to translation.

In [23], local regions are also detected and then normalized to be mapped into subspaces. Texton-dictionaries of size 100 are built from different feature types (intensity and gradient) with several linear and non-linear embedding methods and a Support Vector Machine (SVM) classifier is used. In [12], a method based on the projection of a set of points from a high-dimensional space to a randomly chosen low-dimensional subspace, referred to as random projections (RP), is developed. Images are seen as an ensemble of patches from which RP features are extracted.

Download PDF sample

Rated 4.55 of 5 – based on 4 votes