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Wyszukujesz frazę "ternary vector" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
The Solution of SAT Problems Using Ternary Vectors and Parallel Processing
Autorzy:
Posthoff, C.
Steinbach, B.
Powiązania:
https://bibliotekanauki.pl/articles/226241.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
SAT solver
ternary vector
parallel processing
XBOOLE
Opis:
This paper will show a new approach to the solution of SAT-problems. It has been based on the isomorphism between the Boolean algebras of finite sets and the Boolean algebras of logic functions depending on a finite number of binary variables. Ternary vectors are the main data structure representing sets of Boolean vectors. The respective set operations (mainly the complement and the intersection) can be executed in a bit-parallel way (64 bits at present), but additionally also on different processors working in parallel. Even a hierarchy of processors, a small set of processor cores of a single CPU, and the huge number of cores of the GPU has been taken into consideration. There is no need for any search algorithms. The approach always finds all solutions of the problem without consideration of special cases (such us no solution, one solution, all solutions). It also allows to include problem-relevant knowledge into the problem-solving process at an early point of time. Very often it is possible to use ternary vectors directly for the modeling of a problem. Some examples are used to illustrate the efficiency of this approach (Sudoku, Queen's problems on the chessboard, node bases in graphs, graph-coloring problems, Hamiltonian and Eulerian paths etc.).
Źródło:
International Journal of Electronics and Telecommunications; 2011, 57, 3; 233-249
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Facial expression recognition under difficult conditions: A comprehensive study on edge directional texture patterns
Autorzy:
Ahmed, F.
Kabir, M. H.
Powiązania:
https://bibliotekanauki.pl/articles/331105.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
directional ternary pattern
compressed DTP
facial feature descriptor
texture encoding
support vector machine
deskryptor cech
kodowanie struktury
maszyna wektorów wsparcia
Opis:
In recent years, research in automated facial expression recognition has attained significant attention for its potential applicability in human–computer interaction, surveillance systems, animation, and consumer electronics. However, recognition in uncontrolled environments under the presence of illumination and pose variations, low-resolution video, occlusion, and random noise is still a challenging research problem. In this paper, we investigate recognition of facial expression in difficult conditions by means of an effective facial feature descriptor, namely the directional ternary pattern (DTP). Given a face image, the DTP operator describes the facial feature by quantizing the eight-directional edge response values, capturing essential texture properties, such as presence of edges, corners, points, lines, etc. We also present an enhancement of the basic DTP encoding method, namely the compressed DTP (cDTP) that can describe the local texture more effectively with fewer features. The recognition performances of the proposed DTP and cDTP descriptors are evaluated using the Cohn–Kanade (CK) and the Japanese female facial expression (JAFFE) database. In our experiments, we simulate difficult conditions using original database images with lighting variations, low-resolution images obtained by down-sampling the original, and images corrupted with Gaussian noise. In all cases, the proposed method outperforms some of the well-known face feature descriptors.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2018, 28, 2; 399-409
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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