Multiple Features
Mobile Robot Visual Navigation Using Multiple Features
... A point to note is that systems that use this multifea- ture, multicue philosophy will be highly compute-intensive, due to having a range of processes with a high-bandwidth data input (raw video data). We envisage that ...
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Study on Algorithm of Fire Detection Based on Fusion of Multiple Features
... of multiple features for the early warning of ...many features in flame area are extracted, which include number of corner points, circularity, area change percentage and height ...the ...
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Informative Knowledge Discovery using Multiple Data Sources, Multiple Features and Multiple Data Mining Techniques
... integrate multiple features, multiple data sources and multiple mining methods like ...with multiple features, multiple data sources and multiple ...
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Fusion of Multiple Features and Ranking SVM for Web based English Chinese OOV Term Translation
... This paper focuses on the Web-based English-Chinese OOV term translation pattern, and emphasizes particularly on the translation selection strategy based on the fusion of multiple features and the ranking ...
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Chinese Named Entity Recognition with Multiple Features
... In this paper, we propose a hybrid Chinese NER model which combines multiple features. The main contributions are as follows: ① The proposed Hy- brid Model emphasizes on integrating coarse parti- cle ...
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Offline Handwritten Word Recognition using Multiple Features with SVM Classifier for Holistic Approach
... by multiple and different writers is still an exposed problem, because of multiple challenges including strong variability in writing style and each person have their own control over ...reports ...
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Word Spotting in Handwritten Document Images based on Multiple Features
... %.The word spotting on Grayscale Pashto documents written in Arabic script was presented by Muhammad Ismail Shah et al. [10]. They used profiles and transitional features of each word. The correlation similarity ...
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Analyzing Correlated Evolution of Multiple Features Using Latent Representations
... If multiple traits are com- bined, they provide considerable information on a branch length, or the time elapsing from a parent to a child, because the elapsed time is roughly in- versely proportional to the ...
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A Bayesian Mixture Model for PoS Induction Using Multiple Features
... the features used for clustering need not be restricted to context ...of features can easily be incorpo- rated into the model and inference procedure using the same general framework as in the basic model ...
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Content-Based Image Retrieval Using Multiple Features
... 2. The texture changes are affected by the light generated. The V property in HSV color space is the color of the bright. This “bright” does not mean the light intensity. There is no way to overcome this shortcoming tem- ...
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Combining multiple features for error detection and its application in brain–computer interface
... fusing multiple-channel features from temporal, spectral, and spatial domains through two times of dimensionality reduction based on neural ...of features is ...of features over any single ...
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Examining Multiple Features for Author Profiling
... 1081 features were used, resulting in an accuracy higher than ...of features that can be used for author profiling: content dependent features ...style-based features, which are content ...
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Score level fusion of multiple features for efficient personal recognition
... on multiple feature extracted from palmprint and finger knuckle ...global features. Speeded up Robust Features (SURF) and Bidirectional Empirical Mode decomposition (BEMD) is used to extract ...
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Remote Sensing Image Registration Using Multiple Image Features
... A multiple features based finite mixture model is constructed for dealing with different types of image ...Three features are combined and substituted into the mixture model to form a feature ...
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A Devil in disguise- An interesting case of Non secretory Multiple myeloma
... Multiple Myeloma represents a malignant proliferation of plasma cells derived from a single clone. The tumor, its products, and the host response to it result in a number of organ dysfunctions and symptoms, ...
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Psychogenic Nonepileptic Seizures: What a Neurologist Should Know
... clinical features that are suggestive (but not diagnostic) of nonepileptic seizures are reviewed in Table 2 & Table ...PNES features include a gradual onset, long duration, waxing and waning course, and ...
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Multiple sclerosis: clinical features and MRI findings in Northern China
... Multiple sclerosis (MS) is an autoimmune disease of the central nervous system (CNS) characterized by the de- myelination of white matter. It has been shown that ra- cial and geographical differences may influence ...
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Action Recognition Using Local Spatio-temporal Oriented Energy Features and Additive Kernel SVMs
... (STOE), which is derived from the filter responses of orientation selective bandpass filters, as features has been successfully applied in the fields of video tracking and action recognition. Video sequences ...
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Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References
... exist multiple valid responses corresponding to the same ...the multiple references by con- sidering the correlation of different valid re- sponses and modeling the 1-to-n mapping with a novel two-step ...
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Near Earth substorm features from multiple satellite observations
... substorm features that are difficult to explain by the midtail initiation ...that multiple parallel auroral arcs are often seen from ground all-sky or TV cameras prior to a substorm onset and the breakup ...
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