By Ali Movaghar, Mansour Jamzad, Hossein Asadi
This ebook constitutes the refereed court cases of the foreign Symposium, on synthetic Intelligence and sign Processing, AISP 2013, held in Tehran, Iran, in December 2013. The 35 complete papers offered have been rigorously reviewed and chosen from 106 submissions. they're prepared in topical sections resembling photograph processing, laptop imaginative and prescient, scientific snapshot processing, sign processing, speech processing, traditional language processing, platforms and AI functions, robotics.
Read Online or Download Artificial Intelligence and Signal Processing: International Symposium, AISP 2013, Tehran, Iran, December 25-26, 2013, Revised Selected Papers PDF
Best intelligence & semantics books
Emphasizing problems with computational potency, Michael Kearns and Umesh Vazirani introduce a few important themes in computational studying idea for researchers and scholars in synthetic intelligence, neural networks, theoretical machine technology, and facts. Computational studying idea is a brand new and swiftly increasing quarter of study that examines formal versions of induction with the pursuits of learning the typical tools underlying effective studying algorithms and picking the computational impediments to studying.
For graduate-level neural community classes provided within the departments of laptop Engineering, electric Engineering, and machine technological know-how. Neural Networks and studying Machines, 3rd variation is popular for its thoroughness and clarity. This well-organized and entirely updated textual content continues to be the main accomplished therapy of neural networks from an engineering standpoint.
Reaction-diffusion and excitable media are among so much fascinating substrates. regardless of obvious simplicity of the actual strategies concerned the media express quite a lot of notable styles: from goal and spiral waves to traveling localisations and desk bound respiring styles. those media are on the middle of such a lot ordinary procedures, together with morphogenesis of residing beings, geological formations, worried and muscular job, and socio-economic advancements.
- Readings in artificial intelligence : a collection of articles
- Electromagnetic Field Computation by Network Methods
- Multi-agent and Complex Systems
- Fundamentals of Statistics with Fuzzy Data
- Security of Computer Based Information Systems
- Machine Learning: A Guide to Current Research
Additional resources for Artificial Intelligence and Signal Processing: International Symposium, AISP 2013, Tehran, Iran, December 25-26, 2013, Revised Selected Papers
In this paper we ﬁrst show that the learning based contour detection method has better results in watermark robustness compared to the traditional Canny edge detection. Then we show that the learning based contour detection method has reliable performance when zero-watermarking highly similar images (images that are taken from different angle views). With this new algorithm we can watermark similar images. The produced keys are distinguishable enough for protecting the ownership of similar images.
Hyperspectral imaging leads to the potential of a more accurate classiﬁcation and analysis. However, as the spectral dimension increases, image analysis becomes more complex, and methods developed for multispectral images actually fail when confronted to hyperspectral data. Therefore, to take full advantage of the rich information in spectral dimension, new algorithmic developments are required. Hyperspectral remote sensed image classiﬁcation is an important task in many application domains. First attempts to classify HS data were designed to assign each pixel to one of the classes based on its spectrum.
Extending the depth of focus used multiple cameras. Therefore, the multi-focus image fusion technique is desirable to fuse a set of images. Recently, multi-resolution analysis has become a widely adopted technique to perform image fusion [3–7]. The algorithms based on multi-scale decompositions are more popular. The key step is to perform a multi-scale transform on each source image, and then performed coefﬁcient combination, the process of merge the coefﬁcient in an appropriate way in order to obtain the best quality in the fused image.