feature vectors
Transducing Sentences to Syntactic Feature Vectors: an Alternative Way to “Parse”?
... in feature spaces: the Dis- tributed Representation “Parsers” ...syntactic feature vec- tors from sentences without explicitly pro- ducing symbolic syntactic ...produce feature spaces significantly ...
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A New Dissimilarity Measure between Feature Vectors
... different feature- vectors are obtained equal values for RDW is much lower, even insignificant, in comparison with other indicators like DMH, DE or ...
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Taming Structured Perceptrons on Wild Feature Vectors
... tuning feature weights in a statistical machine translation system, demon- strating the extreme scalability of the algorithm by applying it to vectors containing four to six mil- lion binary ...binary ...
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Facial Expression Recognition Using Feature Vectors
... a feature extraction process using Gray Level Co-occurrence Matrix. Feature Extraction has its key role of dimensionality reduction in Facial Expression ...the feature vectors with better ...
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System Combination Using Joint, Binarised Feature Vectors
... binarised feature vectors, we implemented an algorithm that applies an SVM-based classifier to generate hybrid translations for the language pair ...
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Feature Vectors based CBIR in Spatial and Transform Domain
... on feature vectors (mean and standard deviation) in Spatial domain and Transform ...But feature extraction using Discrete Fourier Transform, Wavelet Transform (From Table 8) as compared to Discrete ...
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PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors
... articulatory feature edit distance (augmented with “pseudofeatures”) to facilitate the translitera- tion of named ...This feature-based system outperformed a temporal algorithm on a English/Hindi language ...
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Indexing of Motion Capture Data for Efficient and Fast Similarity Search
... different feature vectors are extracted from motion data matrices by using SVD properties, and an interval- based tree structure is proposed for indexing the feature ...vectors. Feature ...
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Recursive LSTM Tree Representation for Arc Standard Transition Based Dependency Parsing
... dense vectors through the recursive appli- cation of Long Short-Term Memory networks to build Recursive LSTM Trees ...dense vectors produced by Recursive LSTM Trees replace the need for structural features ...
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Performance Analysis of Security and Accuracy on Palmprint Based Biometric Authentication System
... the feature vectors using various types of feature extraction, the feature vectors will be compared with other feature vectors stored in the palmprint database using ...
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SOLVING ECONOMIC DISPATCH PROBLEM USING PARTICLE SWARM OPTIMIZATION BY AN EVOLUTIONARY TECHNIQUE FOR INITIALIZING PARTICLES
... scale-invariant feature transform(SIFT) and support vector regression(SVR) is proposed in this ...input feature vectors are selected in the wavelet domain and then the train model is obtained by ...
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Non distributional Word Vector Representations
... engineering feature vectors from lin- guistic resources is established practice in many applications of discriminative learning; ...tasks, feature engineering tends to be seen as a task-specific ...
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Min-Hash Fingerprints for Graph Kernels: A Trade-off among Accuracy, Efficiency, and Compression
... the feature space defined by graph kernels in the sense that such feature space is constrained to the space of ...from feature vectors, graph fingerprints have their size defined by the ...
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Human Age Estimation through Fingerprint
... ABSTRACT: Fingerprints are the most widely used proofs for identifying the individuals.In this work, we used human fingerprints as an evidence to determine the human age. Fingerprints are extensively used for identifying ...
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An Improved Discrete Cosine Transformation Block Based Scheme for Copy-move Image Forgery Detection
... stage, feature extraction mechanism is used to obtain important feature vectors from a segmented ...of feature extraction mechanism for block-based division approach will be ...the ...
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A Content based CT Image Retrieval by Advance Multiple Comparison Technique
... the feature vectors are extracted ...the feature vector of the query ...extracted feature vector is compared to the feature vectors stored in the ...the feature of the ...
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Optimized Image Classification Based on Universal Image Distance and Support Vector Machines
... bottom right. This image is the average value image for the given image. This image is converted to corresponding pixel values in binary form. The Lempl- Ziv complexity of the binary string is measure. The distance ...
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Recognition of human interactions using limb-level feature points
... the feature vector has been extracted the algorithm uses a k-Nearest Neighbor classifier to determine the ...extracted feature data and each feature vector is labeled as a single person activity, ...
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Unobtrusive Biometric System Based on Electroencephalogram Analysis
... Once we have the 5 best classifiers for all 51 subjects, we can then implement and test our final application. We now proceed in a similar way, but we only use in each test the first or the second minute of a given take, ...
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A Multimodal Approach to Biometric Recognition
... Abstract— Biometric recognition refers to an automatic recognition of individuals based on feature vectors derived from their physiological and behavioural characteristics. Biometric recognition systems ...
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