Multi-Attribute Spaces: Calibration for Attribute Fusion and Similarity Search Visual characteristics and attributes are a powerful mode of representation for the vision tasks which include image description, recognition, image retrieval, classification. Visual attributes are like text labels that can be …
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Fusing with Context: a Bayesian Approach to Combining Descriptive Attributes The increasing demands and claims for the high and accurate intelligence, forensic and surveillance systems propelled the unimpeded face identification issues and problems to support the biometric verifications and research. …
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Face Tracer: A Search Engine for Large Collections of Images with Faces The face tracer engine has been created and the first image search engine would contain images based only on the faces. In this search engine one can find …
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Exemplar Codes for Facial Attributes and Tattoo Recognition This research has introduced an original, well-organized depiction and recovers and advances classification efficiency and recognition of the facial attributes. The Exemplar Codes are founded on linear classifiers and view normalization from …
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It’s Not Polite To Point: Describing People With Uncertain Attributes Visual and pictorial attributes are most attractive and powerful features in computer visionary software’s for the detection of some object or recognition of the scene. Besides the visual attributes of …
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Describing Objects by their Attributes In this research, attribute-centric approach has been developed. The object recognition permits the users to classify and identify the objects in an advance way besides the traditional naming task and offers many new aptitudes. Learning …
Describing Clothing by Semantic Attributes Labeling clothing presence with semantic attributes is a tempting technique for many important applications. In this research paper, we suggest a completely automated system that is proficient of producing and generating a list of the …
Describable Visual Attributes for Face Verification and Image Search Most prevailing and standing methods for the recognition work by removing and extracting low-level structures and scores in images. For example: gradient directions, pixel values, histograms of oriented gradients etc. These …
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Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer The problem of the classification of the objects arises during the training and test classes are disjoint. For the classification and detection of the objects various advance and authentic systems …
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Business Corruption as a Major Ethical Issue Table of Contents Business Corruption as a Major Ethical Issue 3 Introduction_ 3 Discussion_ 3 Corruption: Ethics and Morality in Business 3 Business Corruption_ 4 Business Corruption and Business Ethics 5 a) Kohlberg’s …
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