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Chapter and Conference Paper
Light Field Salient Object Detection via Hybrid Priors
In this paper, we propose a salient object detection model on light field via hybird priors. The proposed model extracts four feature maps, including region contrast, background prior, depth prior and surface ...
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Article
Online classifier adaptation for cost-sensitive learning
In this paper, we propose the problem of online cost-sensitive classifier adaptation and the first algorithm to solve it. We assume that we have a base classifier for a cost-sensitive classification problem, b...
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Chapter and Conference Paper
A Three Level Cache-Based Adaptive Chinese Language Model
Even if n-grams were proved to be very powerful and robust in various tasks involving language models, they have a certain handicap that the dependency is limited to very short local context because of the Mar...