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SALICON: Saliency in Context
TLDR
This paper presents a new method to collect large-scale human data during natural explorations on images. Expand
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SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks
TLDR
This paper presents a focused study to narrow the semantic gap with an architecture based on Deep Neural Network (DNN). Expand
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GPS-SUMO: a tool for the prediction of sumoylation sites and SUMO-interaction motifs
TLDR
We developed a new tool called GPS-SUMO for the prediction of both sumoylation sites and SUMO-interaction motifs (SIMs) in proteins. Expand
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Co-Tracking Using Semi-Supervised Support Vector Machines
TLDR
This paper treats tracking as a foreground/background classification problem and proposes an online semi- supervised learning framework that improves each individual classifier using the information from other features. Expand
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A Closed-Form Solution to Retinex with Nonlocal Texture Constraints
TLDR
We propose a method for intrinsic image decomposition based on retinex theory and texture analysis. Expand
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Webpage Saliency
TLDR
We propose to use multiple kernel learning (MKL) to achieve a robust integration of various feature maps to predict webpage saliency. Expand
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IBS: an illustrator for the presentation and visualization of biological sequences
TLDR
We present a software package called illustrator of biological sequences (IBS) that can be used for representing the organization of either protein or nucleotide sequences in a convenient, efficient and precise manner. Expand
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BNPMDA: Bipartite Network Projection for MiRNA–Disease Association prediction
TLDR
We proposed a novel computational model of Bipartite Network Projection for MiRNA-Disease Association prediction (BNPMDA) based on the known miRNA-disease associations, integrated miRNA similarity and integrated disease similarity. Expand
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Modeling user activities in a large IPTV system
TLDR
In this work, we perform an in-depth study on several intrinsic characteristics of IPTV user activities by analyzing the real data collected from an operational nation-wide IPTV system. Expand
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Modeling channel popularity dynamics in a large IPTV system
TLDR
We conduct in-depth analysis on channel popularity on a large collection of user channel access data from a nation-wide commercial IPTV network, which enables us to capture the distribution and temporal dynamics of the channel popularity. Expand
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