The discriminant power of RNA features for pre-miRNA recognition
نویسندگان
چکیده
منابع مشابه
Face Recognition by Cognitive Discriminant Features
Face recognition is still an active pattern analysis topic. Faces have already been treated as objects or textures, but human face recognition system takes a different approach in face recognition. People refer to faces by their most discriminant features. People usually describe faces in sentences like ``She's snub-nosed'' or ``he's got long nose'' or ``he's got round eyes'' and so like. These...
متن کاملDiscriminant spectrotemporal features for phoneme recognition
We propose discriminant methods for deriving twodimensional spectrotemporal features for phoneme recognition that are estimated to maximize the separation between the representations of phoneme classes. The linearity of the filters results in their intuitive interpretation enabling us to investigate the working principles of the system and to improve its performance by locating the sources of e...
متن کاملObjective Evaluation of the Discriminant Power of Features in an HMM-based Word Recognition System
A. El-Yacoubi1,2, M. Gilloux2, R. Sabourin1,3 and C.Y. Suen1 1 Centre for Pattern Recognition and Machine Intelligence Department of Computer Science, Concordia University 1455 de Maisonneuve Boulevard West, Montréal, Canada H3G 1M8 2 Service de Recherche Technique de La Poste Department Reconnaissance, Modélisation Optimisation (RMO) 10, rue de l’ile Mabon, 44063 Nantes Cedex 02, France 3 Ecol...
متن کاملanalysis of power in the network society
اندیشمندان و صاحب نظران علوم اجتماعی بر این باورند که مرحله تازه ای در تاریخ جوامع بشری اغاز شده است. ویژگیهای این جامعه نو را می توان پدیده هایی از جمله اقتصاد اطلاعاتی جهانی ، هندسه متغیر شبکه ای، فرهنگ مجاز واقعی ، توسعه حیرت انگیز فناوری های دیجیتال، خدمات پیوسته و نیز فشردگی زمان و مکان برشمرد. از سوی دیگر قدرت به عنوان موضوع اصلی علم سیاست جایگاه مهمی در روابط انسانی دارد، قدرت و بازتولید...
15 صفحه اولSpeaker Recognition Via Nonlinear Discriminant Features
We use a multi-layer perceptron (MLP) to transform cepstral features into features better suited for speaker recognition. Two types of MLP output targets are considered: phones (Tandem/HATS-MLP) and speakers (Speaker-MLP). In the former case, output activations are used as features in a GMM speaker recognition system, while for the latter, hidden activations are used as features in an SVM syste...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2014
ISSN: 1471-2105
DOI: 10.1186/1471-2105-15-124