Discriminative features
Selection of Discriminative Features for Translation Texts
... most discriminative features that characterize the different Buddhist translation texts or other translation ...of features that can be extracted from translation texts and exploited the F-score and ...
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Learning Discriminative Features for Person Re-Identification
... extract discriminative features related to ...local discriminative features under the supervision of attribute labels, and it overcomes the limitations mentioned above inn domain ...
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Traffic sign detection based on simple XOR and discriminative features
... In this paper, a TS detection technique is proposed based on the color and shape properties of TSs. In particular, it uses an image segmentation technique based on learning vector quantization (LVQ) and ...
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Discriminative features in reversible stochastic attribute value grammars
... the features specific to flu- ency ranking (n-gram features) were selected as the most discriminative features in the reversible ...two features were uniform models from the perspec- ...
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Object Tracking Based on Online Classification Boosted by Discriminative Features
... the features that best discriminate between the target and the background are ...choosing features manually, depending on the application ...of discriminative features is more suitable due to ...
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Emotion Recognition from Speech using Discriminative Features
... The choice of one-v/s-all SVM with linear, polynomial and radial basis function (RBF) kernels has been made. The performance of the SVM as a classifier of emotions has been scrutinized by observing for which of the ...
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EEG-based outcome prediction after cardiac arrest with convolutional neural networks: Performance and visualization of discriminative features.
... EEG features not easily recognizable by human eye [Beudel et ...pre-defined features of the EEG signal such as amplitude, frequency spectrum, presence of spiky elements, and linear or non-linear ...
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Features Reduction using Wavelet and Discriminative Common Vector and Recognizing Faces using RBF
... most discriminative features for two reasons such as there is much redundant or irrelevant information contained in wavelet coefficients and it cannot recover new meaning underlying features which ...
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Modeling Discriminative-Based Features with Genetic Algorithm for Human Identity and Gender Recognit
... as features for human identity and gender recognition from gait ...C-AGI features of the same subject in such ...more discriminative modal-based features to improve the performance of human ...
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SDRNF: generating scalable and discriminative random nonlinear features from data
... and discriminative features based on randomized ...and discriminative properties, we believe our model can be used in a variety areas in machine ...
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Extracting A Discriminative Acoustic Features from Voiced Segments for Improving Speech Emotion Recognition Accuracy
... extracted features are relevant to emotions conveyed in speech or ...Finding discriminative features for SER is a challenging problem until ...extracting features has been to extract a massive ...
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Identifying and Explaining Discriminative Attributes
... of discriminative attributes (Figure ...pute discriminative attributes can provide a repre- sentation paradigm which can support more fine- grained semantic inference ...
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Phrase Clustering for Discriminative Learning
... We present a simple and scalable algorithm for clustering tens of millions of phrases and use the resulting clusters as features in discriminative classifiers. To demonstrate the power and generality of ...
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Discriminative Substring Decoding for Transliteration
... Our decoder builds upon machine translation’s monotone phrasal decoding (Zens and Ney, 2004), or equivalently, the sequence tagging algorithm used in semi-Markov CRFs (Sarawagi and Co- hen, 2004). This dynamic ...
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Advances in Discriminative Parsing
... atomic features to one with a far richer atomic feature set, including unbounded context features, length features, and features of the terminal ...All features are all of the form ...
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Low Dimensional Discriminative Reranking
... for discriminative reranking problem and showed improvements for the POS tagging task in four dif- ferent ...different features, though it is an important ...space features, our models are able to ...
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Discriminative Reranking for Machine Translation
... performance. Discriminative reranking al- gorithms used for these applications include Perceptron, Boosting and Support Vector Machines ...novel discriminative ranking (also called ordinal regression) ...
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Discriminative Reranking for Spelling Correction
... effort will not only avoid false alarms but also detect real-word errors. Another improvement is to discover some more discriminant features. For example, users’ clickthrough data on the suggestion link posed by ...
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Fast and Discriminative Semantic Embedding
... semantically discriminative term embeddings and weightings with a single pass through the training data, and has the capacity to effectively include very rare ...
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A Discriminative Model for Semantics to String Translation
... used features: four chan- nel model scores (forward and backward MLE and lexical weighting scores), a 5-gram language model, five lexicalized reordering model scores (corresponding to different ordering outcomes), ...
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