Search results for "artificial intelligence"
showing 10 items of 6122 documents
Farewell to representation: text and society
2017
Cultures develop the criteria to construct and recognize their texts, and pose them as normal, usual, ‘natural’. For us a book is a text, in Middle Ages for everyone a city was a text. But when it is necessary to critically inspect such a culture by analyzing its texts, it becomes necessary to understand their conditions of possibility and their functioning. So, from the semiotic point of view the text is something that needs to be recognized and constructed at the same time, that is to say invented according to the double meaning this word has for the ancient rhetoric (recovering) and for modern science (creating) (Marrone 2014). This is true for the semiotician who search for the fundamen…
The Stochastic Intelligence. A Technical Model from Ancient Greece to Robotics
2019
What do we mean when we talk about the “intelligence” of robots? In what sense does a robot “reason” and “take decisions”? Answering these questions can give food for thought towards understanding whether there is either something so specific in human beings that cannot be reproduced in robots, or—as an alternative—the way to improve robots in emulating human behavior. In the following pages I will try to give my contribution by shedding light on some characteristics concerning human reasoning and rationality, mainly referring to the ancient Greek philosophical tradition.
A robust approach to ERP denoising
2010
The purpose of presented study is to explore possibilities to increase the robustness and improve the performance of the spatial ERP denoising methods proposed in earlier research. The quality of the subspace separation solution may easily be degraded essentially, if the underlying assumptions become noticeably violated, which is a normal situation in practice. The distortions to the results of a separation are caused by non-zero sample signal-noise and noise-noise correlations, which are indistinguishable from the variances of the signal and noise in the framework of the second-order statistical information exploited by the discussed methods. Therefore, in the research reported in this art…
<title>Human cell texture analysis with quincunx spline wavelet transform</title>
1999
Wavelet transforms are efficient tools for texture analysis and classification. Separable techniques are classically used but present several drawbacks. First, diagonal coefficients contain poor information. Second, the other coefficients contain useful information only if the texture is oriented in the vertical and horizontal directions. So an approach of texture analysis by non-separable transform is proposed. An improved interscale resolution is allowed by the quincunx scheme and this analysis leads to only one detail image where no particular orientation is favored. New orthogonal isotropic filters for the decomposition are constructed by applying McClellan transform on one dimension B-…
Location and characterization of the stem-calyx area on oranges by computer vision
1996
Three image analysis methods were studied and evaluated to solve the problem of removing long stems attached to mechanically harvested oranges: colour segmentation based on linear discriminant analysis, contour curvature analysis, and a thinning process which involves iterating until the stem becomes a skeleton. These techniques are able to determine the presence or absence of a stem with certainty, to locate the stems from random views with more than 90% accuracy and from profile images with an accuracy ranging from 92.4% to 100% depending on the method used. Finally, determination of the length and cutting point of the stem is achieved with only 3.8% of failures. (C) 1996 Silsoe Research …
Hidden Markov Random Field model and BFGS algorithm for Brain Image Segmentation
2016
Brain MR images segmentation has attracted a particular focus in medical imaging. The automatic image analysis and interpretation became a necessity. Segmentation is one of the key operations to provide a crucial decision support to physicians. Its goal is to simplify the representation of an image into items meaningful and easier to analyze. Hidden Markov Random Fields (HMRF) provide an elegant way to model the segmentation problem. This model leads to the minimization problem of a function. BFGS (Broyden-Fletcher-Goldfarb-Shanno algorithm) is one of the most powerful methods to solve unconstrained optimization problem. This paper presents how we combine HMRF and BFGS to achieve a good seg…
WITTA Between Globalization and Localization: New Challenges in View of Geopolitical Developments, Impending Digitalization, and Artificial Intellige…
2020
Internationalization of higher education also concerns the training of translators, interpreters, and other language service providers. Their services will continue to be of paramount importance for global development, where they become increasingly important as a bridge for economic and cultural exchanges. The Belt and Road Initiative of China will strengthen the demand for language services in an increasingly transnational environment. Since new forms of cooperation are necessary and desirable, WITTA as a new association should strive at becoming an autonomous transnational Think Tank that generates policy-oriented research, analysis, and advice on domestic and international issues in the…
A new family of nonstochastic languages
2010
Öz bulunamadı.
Non-negative matrix factorization Vs. FastICA on mismatch negativity of children
2009
In this presentation two event-related potentials, mismatch negativity (MMN) and P3a, are extracted from EEG by non-negative matrix factorization (NMF) simultaneously. Typically MMN recordings show a mixture of MMN, P3a, and responses to repeated standard stimuli. NMF may release the source independence assumption and data length limitations required by Fast independent component analysis (FastICA). Thus, in theory NMF could reach better separation of the responses. In the current experiment MMN was elicited by auditory duration deviations in 102 children. NMF was performed on the time-frequency representation of the raw data to estimate sources. Support to Absence Ratio (SAR) of the MMN co…
Visual Cortex Performs a Sort of Non-linear ICA
2010
Here, the standard V1 cortex model optimized to reproduce image distortion psychophysics is shown to have nice statistical properties, e.g. approximate factorization of the PDF of natural images. These results confirm the efficient encoding hypothesis that aims to explain the organization of biological sensors by information theory arguments.