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An Investigation on the Effectiveness of Features for Translation Quality Estimation
Investigation Effectiveness Features Translation Quality Estimation
2013/3/20
We describe a systematic analysis on the effectiveness of features commonly exploited for the problem of predicting machine translation quality. Using a feature selection technique based on Gaussian P...
Co-occurrence matrix and its statistical features as a new approach for face recognition
Face recognition gray-level co-occurrence matrix Haralick features
2011/1/19
In this paper, a new face recognition technique is introduced based on the gray-level co-occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the information about relati...
11001 New Features for Statistical Machine Translation
11001 New Features Statistical Machine Translation
2009/11/2
We use the Margin Infused Relaxed Algorithm of Crammer et al. to add a large number of new features to two machine translation systems: the Hiero hierarchical phrasebased translation system and our sy...
Extraction and Recognition of Nonlinear Interval-Type Features Using Symbolic KDA Algorithm with Application to Face Recognition
Nonlinear Interval-Type Features Symbolic KDA Algorithm Face Recognition
2009/9/4
We present symbolic kernel discriminant analysis (symbolic KDA) for face recognition in the framework of symbolic data analysis. Classical KDA extracts features, which are single-valued in nature to r...
An intelligent face features generation system from fingerprints
Information security biometrics artificial neural networks
2009/7/28
In this study, a novel intelligent system based on artificial neural networks was designed and introduced
for generating faces from fingerprints with high accuracy. The proposed system has a number o...
Dialogue Act Classification Based on Intra-Utterance Features
Dialogue Act Classifi cation Intra-Utterance Features
2005/3/20
We present recent work in the area of Dialogue Act (DA) tagging. Identifying the dialogue acts of utterances is recognised as an important step towards understanding the content and nature of what spe...