Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Programming is taught in India using English as the medium of instruction to students whose native language is not English. This places a high cognitive load on students who learn programming for the first time and who are not very proficient in English. Our study aims at finding out what the students feel if their native language is used along with English for teaching programming. As a part of our...
Human being normally uses natural language in form of written or spoken in their daily life. It is an entirely concept based on Artificial Intelligence, Computer Science and Linguistic resources. In Indian languages, Gujarati is an Indo — Aryan language with rich and high inflection. In these languages, several words have common root that's need to be reduced by using stemmer. Stemmer is used to reduce...
We present a method for combining the Vector of Locally Aggregated Descriptor (VLAD) feature encoding with Deep Convolutional Neural Network (DCNN) features for unconstrained face verification. One of the key features of our method, called the VLAD-encoded DCNN (VLAD-DCNN) features, is that spatial and appearance information are simultaneously processed to learn an improved discriminative representation...
We present a method to combine the Fisher vector representation and the Deep Convolutional Neural Network (DCNN) features to generate a rerpesentation, called the Fisher vector encoded DCNN (FV-DCNN) features, for unconstrained face verification. One of the key features of our method is that spatial and appearance information are simultaneously processed when learning the Gaussian mixture model to...
We introduce a novel classifier, called max residual classifier (MRC), for learning a sparse representation jointly with a discriminative decision function. MRC seeks to maximize the differences between the residual errors of the wrong classes and the right one. This effectively leads to a more discriminative sparse representation and better classification accuracy. The optimization procedure is simple...
Steganography is an art of secret data communications. Its main purpose is to hide the occurrence of communication over a public channel. Steganography tends to hide the very existence of the message or communication in any form. Hiding the occurrence of communication can be done by embedding a secret message into an innocent cover medium, such as an image, which no one else other than the sender...
Many duty cycling MAC protocols exploit preamble sampling technique to improve the energy efficiency. In this technique, all the devices periodically listen to the medium for a short duration and then go back to sleep if medium is found idle. When a device wants to send data it transmits a long preamble followed by data bits. When the receiver wakes up and detects the preamble it stays awake until...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.