[PDF] Top 20 Attribute-enhanced metric learning for face retrieval

... 13,233 face images from 5749 different subjects. The CFW [20] face data set is a large collection of celebrity face ...33 attribute labels, which includes 1680 subjects, 4 images per sub- ... See full document

... image retrieval model for problem of similar facial images searching and retrieval in the search space of the facial images by integrating content-based image retrieval (CBIR) techniques and ... See full document

... content-based face picture recovery is an empowering innovation for some rising ...the face photographs to enhance contentbased face recovery by building semantic codewords for proficient substantial ... See full document

... machine learning framework for mining social images that are often associated with multimodal ...Distance Metric Learning scheme. It investigates an emerging retrieval-based annotation ... See full document

... technology-enhanced learning group put the useful- ness of the system into ...However, learning has been identified being a social ...in learning activities ... See full document

... Li et al. [11] gets candidates, which are similar visually by accepting its geo-visual neighbors that are geographically nearer and visually similar. In some methods, location will be given as both city or global scale ... See full document

... automatic face annotation ...the retrieval based face annotation approach on a large scale web facial image ...unifying learning scheme by combining both transductive and inductive ... See full document

... explained retrieval-based face annotation by weak label regularized local coordinate ...the retrieval-based face annotation scheme by proposing a novel Weak Label Regularized Local Coordinate ... See full document

... pattern retrieval optimization using feature vector parameters as shown in previous paper ...correct retrieval rate for typical images is high, but obviously the statistical approach alone cannot account ... See full document

... machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection ...a learning algorithm, based on AdaBoost, which selects a small ... See full document

... the retrieval results and the number in parentheses represents the rank predicted by ...only face regions, therefore we can still achieve good performance under the ... See full document

... content-based face image retrieval is an enabling technology for many emerging ...this face image retrieval system, aim is to utilize automatically detected human attributes that contain ... See full document

... multiple Attribute Authorities (AAs).These attribute authorities separately maintain ...keys. Attribute Authority certifies the user and distributes private attribute key to the user that can ... See full document

... kernel learning (Lanckriet et ...kernel learning (Zhu et al., 2005), manifold-based kernel learning (Bengio et ...kernel learning method combines both of the above ...matrix learning ... See full document

... homogeneous attribute metric to quantify the homogeneous attribute of life styles among users, and estimate utilizers impact in terms of life fashions with a friend-matching ... See full document

... containing face signatures, would it be possible to reconstruct the corresponding face images, revealing who was in the database? Would these reconstructed images be good enough to allow them to gain access ... See full document

... scalable face image retrieval system which can integrate with partial identity information to improve the retrieval ...from face images combining with inverted indexing to construct an ... See full document

... of attribute-based signatures considers several signers and an authority that issues secret keys to ...an attribute set. Attribute-based signatures are computed on message-policy pairs under a secret ... See full document

... The enhanced LPN may highlight the engagement of differential retrieval and post-retrieval processes or attentional control mechanisms may be needed to guide successful ...at retrieval, the ... See full document

... model that differs from Ordinary Least Square regression by first projecting the regressors and responses onto a low dimensional latent linear subspace. PLS chooses these linear projections such that the covariance ... See full document