Non-local, multi-scale, and clustering features
CHEMDNER system with mixed conditional random fields and multi-scale word clustering
... the clustering features, whether one-level or multi-level clusters, help to generalize the identified struc- tures, thus improving the recall ...
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Robust Multi scale Prior L K Tracking Based on Local Features
... on multi-scale motion prior information is proposed in this ...The multi-scale priori error Jacobi matrix is calculated offline by artificially constructed multi-scale ...on ...
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Pairwise registration of TLS point clouds by deep multi-scale local features
... 3D local descriptors, based on hand-crafted methods, have been ...a local shape descriptor, whose points are oriented with associated direc- tions, and used it to match ...the local reference frame, ...
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Multi-scale features of atmospheric rivers and the linkages with local-scale hydrological impacts on the U.S. West Coast
... 53 leading edges, we average WAA in the 10°´10° box off the Northwest Coast (red dashed box in Fig. 3-1b, 40°N - 50°N and 135°W – 125°W) within the 2-day period before the peak landfall time step occurring in domain 02. ...
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Identifying Geographical Features with Spatial Data: Multi-scale Approaches for Representing Local Extrema
... Representing Local Extrema by Boleslo Edward Romero This dissertation concerns the properties and relationships of discernible geographical features or their parts, particularly local ...their ...
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Face Verification with Multi-Task and Multi-Scale Features Fusion
... three features for each CNN. These three features produced from different layers correspond to different ...extract multi-scale face representation features, the final face ...
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Enhanced Similarity for Spectral Clustering using Local Steering Features
... of clustering, spectral clustering (SC) has become an effective tool to analyze complex non-convex data using only pairwise affinity between the data ...use local features such as ...
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Segmentation of phase contrast microscopy images based on multi-scale local Basic Image Features histograms
... of features. In contrast, when using local 256-bin intensity feature histograms, computation time soared to more than 45 s for the same image and ...
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Multi-atlas segmentation using clustering, local non-linear manifold embeddings and target-specific templates
... the clustering is performed offline and has to be done only once, a large number of clusters can have a negative impact on the runtime, because every candidate label has to be warped to the ...without ...
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Spatial abundance and clustering of Culicoides (Diptera: Ceratopogonidae) on a local scale
... of local dependence given by the spatial correla- tion (Table ...spatial clustering by including more explanatory covariates, and it should be noted that given the validity of the CAR model, these ...
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Image Objects and Multi-Scale Features for Annotation Detection
... larger scale chunk, or atomic image ele- ment and how can these be computed? A natural start- ing point is connected ...that local features measured on con- nected components were insufficiently ...
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Clustering of the Multi Value Documents based on Probabilistic Features Association Mechanism
... In particular, the k-modes method [2], [4], and [7] algorithms are used primarily to make a simple proportional-based content comparison and instead of the method and it has discovered the potential of the cluster. This ...
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Interstate Non-Local Mortgage Lending: Features and Explanations
... of non-local lending is also ...desirable features for the ...of non-local lending, such as low income, high minority share, and borrower pools with poor ...large scale, the ...
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Segmentation of pulmonary nodules using adaptive local region energy with probability density function-based similarity distance and multi-features clustering
... of non-solid and part-solid ground-glass opacity (GGO) nodules with faint contrast and fuzzy margins (shown as ...particular, non-solid nodules are extremely subtle with fuzzy boundaries, and part-solid ...
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Robust and scalable aggregation of local features for ultra large-scale retrieval
... any non-negative values, and the value 0 to any negative values, ...and non-matching pairs (trained off-line) of binary component-level RVD ...and non-matching image pairs ...compressed local ...
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Active shape model unleashed with multi scale local appearance
... of local features, based on statisti- cal theory: a compact closed form solution to the optimal shape is ...of local appearance presented in the training ...from multi-scale ...
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Local quality functions for graph clustering with non-negative matrix factorization
... graph clustering, recently introduced by Traag, Van Dooren, and Nesterov [ 4 ...optimal clustering in the original graph should also be an optimal clustering in the induced subgraph containing only ...
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Finger Texture Biometric Verification Exploiting Multi-scale Sobel Angles Local Binary Pattern Features and Score-based Fusion
... a multi-object biometric system based on the five FT fingers can be ...human-specific features such as wrinkles, apparent lines, dermal patterns and ...
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Agglomerative hierarchical clustering of airborne electromagnetic data for multi-scale geological studies
... The clustering method is illus-trated with an extensive airborne electromagnetic survey conducted over Reunion ...hierarchical clustering is of high interest for multi-scale studies, from ...
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Dropwise Condensation on Multi-scale Bioinspired Metallic Surfaces with Nano-Features
... two non-wetting surfaces engineered from copper without the assistance of a conformal hydrophobic polymer was ...sticky non-wetting behaviour of a rose petal, the final condensation behaviour is that of ...
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