Search results for "encoding"
showing 10 items of 134 documents
Physics-Aware Machine Learning For Geosciences And Remote Sensing
2021
Machine learning models alone are excellent approximators, but very often do not respect the most elementary laws of physics, like mass or energy conservation, so consistency and confidence are compromised. In this paper we describe the main challenges ahead in the field, and introduce several ways to live in the Physics and machine learning interplay: encoding differential equations from data, constraining data-driven models with physics-priors and dependence constraints, improving parameterizations, emulating physical models, and blending data-driven and process-based models. This is a collective long-term AI agenda towards developing and applying algorithms capable of discovering knowled…
On axis holography by random particles encoding
2012
A method for eliminating the unwanted terms in an on axis hologram is presented. In this method, free randomly distributed nanoparticles are in proximity to the object and their Brownian motion encodes the spatial features of the object in the recorded hologram. The nanoparticles are localized and a decoding pattern is calculated for each frame. This decoding pattern is then used to remove the reference beam and the conjugate beam in the reconstruction of the hologram.
Rateless codes mitigation technique in a turbulent indoor Free Space Optics link
2014
Free Space Optics (FSO) links are affected by several impairments and, among them, optical turbulence is the most important factor that can degrade the link quality. Due to the presence of this phenomenon, the signal irradiance detected by the receiver fluctuates, thus causing erasure errors and fading events. In this work, we present an indoor Free Space Optics link, in which several turbulence conditions are generated by using two heating elements. We show that the generated turbulence causes erasure errors and packet losses during the data transmission, and we also compare the statistical distribution of the samples with the theoretical models. Moreover, we demonstrate how the applicatio…
Transducers for the bidirectional decoding of prefix codes
2010
AbstractWe construct a transducer for the bidirectional decoding of words encoded by the method introduced by Girod (1999) in [5] and we prove that it is bideterministic and that it can be used both for the left-to-right and the right-to-left decoding.We also give a similar construction for a transducer that decodes in both directions words encoded by a generalization of Girod’s encoding method. We prove that it has the same properties as those of the previous transducer. In addition we show that it has a single initial/final state and that it is minimal.
A Generalization of Girod's Bidirectional Decoding Method to Codes with a Finite Deciphering Delay
2012
Girod’s encoding method has been introduced in order to efficiently decode from both directions messages encoded by using finite prefix codes. In the present paper, we generalize this method to finite codes with a finite deciphering delay. In particular, we show that our decoding algorithm can be realized by a deterministic finite transducer. We also investigate some properties of the underlying unlabeled graph.
Compact and Field Portable Biophotonic Sensors for Automated Cell Identification (Plenary Address)
2021
In this Plenary address paper, we overview recently published work for automated cell identification using 3D optical imaging in compact and field portable biophotonic sensors. Digital holographic microscopy systems and lensless pseudorandom phase encoding systems capture 3D information of biological cells and make highly accurate automated cell identification possible. Overviewed systems include sickle cell disease diagnosis based on spatio-temporal cell dynamics in a field-portable 3D-printed shearing digital holography as well as lensless cell identification of both single and multicell samples using pseudorandom phase encoding.
Molecular analysis of genes encoding CFTR interactors of SLC26 family in CF patients: preliminary results
2008
Use of machine learning approaches to improve non-invasive skin melanoma diagnostic method in spectral range 450 - 950nm
2020
Non-invasive skin cancer diagnostic methods develop rapidly thanks to Deep Learning and Convolutional Neural Networks (CNN). Currently, two types of diagnostics are popular: (a) using single image taken under white illumination and (b) using multiple images taken in narrow spectral bands. The first method is easier to implement, but it is limited in accuracy. The second method is more sensitive, because it is possible to use illumination considering the absorption bands of the skin chromophores and the optical properties of the skin. Currently CNN use a single white light image, due to the availability of large datasets with lesion images. Since CNN processing and analysis requires a large …
Improvement of working memory performance by training is not transferable
2011
Working memory (WM) usually refers to a cognitive system devoted to the simultaneous maintenance and processing of information which plays a crucial role in high-level cognition. Recently, Barrouillet and collaborators showed the importance of controlling the time course of cognitive activities to assess WM capacities. Therefore, they developed a new paradigm to systematically explore the functioning of WM that involved simple but time-constrained activities as processing component. In comparison with traditional tasks, these computer-paced span tasks provide a more accurate evaluation of WM capacities and turned out to be the most predictive of complex cognitive achievements. The present s…
Recensione a “Goschler J., Stefanowitsch A. (eds.), Variation and change in the encoding of motion events, Human Cognitive Processing (HCP) 41, John …
2016
Variation and change in the encoding of motion events is a thematic collective volume focused on motion event encoding, one of the main topics in Cognitive Linguistics. Edited by Juliana Goschler and Anatol Stefanowitsch, it is the forty-first volume of the Human Cognitive Processing series, a John Benjamins’ interdisciplinary book series concerning research on language(s) and human cognitive faculties. The book results from a theme session of the Fourth International Conference of the German Cognitive Linguistic Association.