A Unified View of Social and Temporal Modeling for B2B Marketing Campaign Recommendation

Abstract:

Business to Business (B2B) marketing aims at meeting the needs of other businesses instead of individual consumers, and thus entails Read More

A Novel Representation and Compression for Queries on Trajectories in Road Networks

Abstract:

Recording and querying time-stamped trajectories incurs high cost of data storage and computing. In this paper, we explore several characteristics Read More

Three-server swapping for access confidentiality

Abstract:

We propose an approach to protect confidentiality of data and accesses to them when data are stored and managed by Read More

CSR: Classified Source Routing in DHT-Based Networks

Abstract:

In recent years cloud computing provides a new way to address the constraints of limited energy, capabilities, and resources. Distributed Read More

Image Haze Removal via Reference Retrieval and Scene Prior

Abstract:

Photography of hazy scene typically suffers from low-contrast which degrades the visibility of the scene. The performance of single image Read More

How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution

Abstract:

Wisely utilizing the internal and external learning methods is a new challenge in super-resolution problem. To address this issue, we Read More

Her2Net: A Deep Framework for Semantic Segmentation and Classification of Cell Membranes and Nuclei in Breast Cancer Evaluation

Abstract:

We present an efficient deep learning framework for identifying, segmenting and classifying cell membranes and nuclei from human epidermal growth Read More

Geometry-Consistent Light Field Super-Resolution via Graph-Based Regularization

Abstract:

Light field cameras capture the 3D information in a scene with a single exposure. This special feature makes light field Read More