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[PDF] Top 20 The Feature Subspace Method for SMT System Combination

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The Feature Subspace Method for SMT System Combination

The Feature Subspace Method for SMT System Combination

... sub- system into a candidate pool to see the effects when different numbers of sub-systems are used in ...baseline system on the development set. That is, for each sub-system, we combine its n-best ... See full document

9

System Combination of RBMT plus SPE and Preordering plus SMT

System Combination of RBMT plus SPE and Preordering plus SMT

... task, SMT part translates reordered source sentences to the ...the method described in ...our SMT semi-monotone SMT. LM for SMT is same as LM for ... See full document

6

System Combination Using Joint, Binarised Feature Vectors

System Combination Using Joint, Binarised Feature Vectors

... actual method implemented in a given machine translation system, creating translation output usually requires several, often heterogeneous, ...the combination of machine translation systems into ... See full document

8

A Review on Subspace Methods for Face Image Recognition

A Review on Subspace Methods for Face Image Recognition

... (Otsu‘s method) or local thresholding ...operation. Feature extraction is a type of dimensionality reduction technique that effectively extracts the relevant information called feature vectors from ... See full document

5

OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS 
FOR ONE MAGNETRON

OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON

... Using subspace modeling techniques, we propose an unsupervised learning algorithm to perform the unsafe states ...The feature space are decomposed into the normal and anomalous subspace, where the ... See full document

10

A Combination of Feature Selection and Co occurrence Matrix Methods for Leukocyte Recognition System

A Combination of Feature Selection and Co occurrence Matrix Methods for Leukocyte Recognition System

... In the developed system, a color space transformation from RGB domain to HSV domain is performed in the pre-processing stage. The HSV (Hue, Saturation, Value) defines a common color space which is popular in ... See full document

6

Illumination Invariant Facial Pose Classification

Illumination Invariant Facial Pose Classification

... various subspace methods such as LDA /QR [11], Null-space LDA [12], Dual-space LDA [13], Eigenfeature regularization [14], SVM Based Feature extraction[15] ...for feature extraction which perform ... See full document

6

DCU Lingo24 Participation in WMT 2014 Hindi English Translation task

DCU Lingo24 Participation in WMT 2014 Hindi English Translation task

... baseline system, we exploit various methods including Context- Informed PB-SMT (CIPBSMT), zero-shot learn- ing (Palatucci et ...Alignment Combination (MAC) (Tu et ... See full document

6

Subspace system identification

Subspace system identification

... the system are known up to within some unknown parameters, which are estimated using some parameter-estimation method (gray box ...of system equations which is difficult in MIMO systems due to ... See full document

7

Real-time face recognition system using radial basis function neural networks

Real-time face recognition system using radial basis function neural networks

... Low Level Analysis ,..-- Feature-Based r-- Feature Analysis Approach .._ Active Shape Model Face Detection 1-- Linear Subspace r- Image-Based '-- Method Neural Network Approach - Statist[r] ... See full document

24

Feature Rich Discriminative Phrase Rescoring for SMT

Feature Rich Discriminative Phrase Rescoring for SMT

... We also experiment with phrase table pruning using Fisher significant test, as proposed in (Johnson et. al. 2007). We tuned the pruning threshold for the best result. It shows that the significance pruning improves over ... See full document

9

Integrated Phoneme Subspace Method for Speech Feature Extraction

Integrated Phoneme Subspace Method for Speech Feature Extraction

... the subspace method with Principal Component Analysis ...of feature coe ffi cients. By applying PCA to each clean phoneme feature set, as shown in Figure 2, each respective phoneme ... See full document

6

Hyperspectral Images Terrain Classification in Combination Spectrum DLDA Subspace

Hyperspectral Images Terrain Classification in Combination Spectrum DLDA Subspace

... Hyperspectral images [1] provide abundant information in spatial domain and spectral domain. Hyperspectral images have high dimensionality because of high spectral resolution, while the number of samples is relatively ... See full document

6

An Empirical Study of Diversity of Word Alignment and its Symmetrization Techniques for System Combination

An Empirical Study of Diversity of Word Alignment and its Symmetrization Techniques for System Combination

... Moses SMT toolkit (Koehn et ...based SMT systems on the FBIS corpus of 220205 sen- tences up to length ...the feature weights and tested on NIST 2002 /2003 /2004 /2005 /2006 /2008 test sets with four ... See full document

6

Hybrid Subspace Detection based on Spectral and Spatial Information for Effective Hyperspectral Image Classification

Hybrid Subspace Detection based on Spectral and Spatial Information for Effective Hyperspectral Image Classification

... Fig 3: Cumulative Variance of Pavia University dataset Higher variance does not give guarantee of consuming required information. Some features with lower variance may be further informative [19]. So only feature ... See full document

7

DETECTION OF CHANGES OF THE SYSTEM TECHNICAL STATE USING STOCHASTIC SUBSPACE OBSERVATION METHOD

DETECTION OF CHANGES OF THE SYSTEM TECHNICAL STATE USING STOCHASTIC SUBSPACE OBSERVATION METHOD

... tic subspace methods was undertaken in the hereby paper. Subspace methods are the ones based on numerical linear algebra ...the subspace observation method was applied – in the paper – for the ... See full document

5

High Performance Iterative Solver for Linear System using Multi GPU

High Performance Iterative Solver for Linear System using Multi GPU

... Krylov subspace method on multi Graphics Processing Unit (GPU) is numerically ...linear system obtained by finite element method with an edge element is adopted for the ...gradient ... See full document

5

Subdomain Chebyshev Spectral Method for 2D and 3D Numerical Differentiations in a Curved Coordinate System

Subdomain Chebyshev Spectral Method for 2D and 3D Numerical Differentiations in a Curved Coordinate System

... spectral method to calculate spatial derivatives in a curved coordinate system, which is similar to subspace spectral element method (weak form) [18] that divides the global domain into ... See full document

13

Facial Expression Recognition at Different Dimensional Subspace Feature Dataset

Facial Expression Recognition at Different Dimensional Subspace Feature Dataset

... on combination of Gabor wavelets and supervised locality preserving projections (SLPP) for face ...Gabor feature vectors. The dimensions of feature vector were reduced using principal component ... See full document

7

Overview of the 2nd Workshop on Asian Translation

Overview of the 2nd Workshop on Asian Translation

... 1 system of the JPC-KJ subtask, which was the lower score on the pairwise crowdsourcing evaluation despite the high score on the automatic evaluation, was eval- uated ...each system, two anno- tators ... See full document

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