Existing linear projection based hashing methods have witnessed many progresses in finding the approximate nearest neighbor(s) of a given query. They perform well when using a short code. But their code length depends...
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ISBN:
(纸本)9781479952106
Existing linear projection based hashing methods have witnessed many progresses in finding the approximate nearest neighbor(s) of a given query. They perform well when using a short code. But their code length depends on the original data dimension, thus their performance can not be further improved with higher number of bits for low dimensional data. In addition, in the case of high dimensional data, it is not a good choice to produce each bit by a sign function. In this paper, we propose a novel random forest based approach to cope with the above shortcomings. The bits are obtained by recording the paths when a point traversing each tree in the forest. Then we propose a new metric to calculate the similarity between any two codes. Experimental results on two large benchmark datasets show that our approach outperforms its counterparts and demonstrate its superiority over the existing state-of-the-art hashing methods for descriptor retrieval.
In this paper, a framework on 3D in Style rendering based on 2D texture library is proposed. The major contributions of this paper are speeding up the process of 3D rendering with Chinese ink-style, and presenting a n...
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Censorship of parts of written text was and is a common practice in totalitarian regimes. It is used to destroy information not approved by the political power. Recovering the censored text is of interest for historic...
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Abnormal inactivity indicates situations, where elderly need assistance. Systems detecting the need for help models the amount of inactivity using inactivity profiles. Depending on the analysis of the profiles, events...
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Falls are a major risk for the elderly and where immediate help is needed. The elderly, especially when suffering from dementia, are not able to react to emergency situations properly, thus falls need to be detected a...
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The recent use of attributes for various problems like object classification, object description and image retrieval produced promising results. The data sets are developed in which images are annotated with the attri...
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The recent use of attributes for various problems like object classification, object description and image retrieval produced promising results. The data sets are developed in which images are annotated with the attributes of objects instead of the category names. Attributes performed better than low-level features for cross-category generalization on several data sets. These data sets opened the avenues for potential research in computervision and image understanding based on attributes. Therefore it is quite necessary to get an overview of the attributes, the way they work and data sets annotated with attributes. In this work we provide an overview of various solutions based on attributes, the availab.e data sets that are annotated with the attributes and future directions for some potential problems where attributes may perform better than low-level features.
The increasing amount of medical imaging data acquired in clinical practice holds a tremendous body of diagnostically relevant information. Only a small portion of these data are accessible during clinical routine or ...
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Facial aging effects can be perceived in two main forms;the first one is the growth related transformations and the second one is the textural variations. Therefore, in order to generate an efficient age classifier, b...
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Information about people, places and events are examples of social data. These social data, widely spread on the Internet, are also displayed by directories directly in the physical world, enhancing interactivity and ...
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Finding a parking place in a busy city centre is often a frustrating task for many drivers;time and fuel are wasted in the quest for a vacant spot and traffic in the area increases due to the slow moving vehicles circ...
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