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Stereoscopic image generation based on depth images for 3D TV
Results are presented to show that the proposed system provides an improvement in image quality of stereoscopic virtual views while maintaining reasonably good depth quality.
Critical success factors of enterprise resource planning systems implementation success in China
This study attempts to study critical success factors affecting enterprise resource planning (ERP) systems implementation success in China with focus on both generic and unique factors.
Enhancing Source-Location Privacy in Sensor Network Routing
  • L. Zhang
  • Computer Science
    25th IEEE International Conference on Distributed…
  • 3 July 2006
This paper provides a formal model for the source-location privacy problem in sensor networks and examines the privacy characteristics of different sensor routing protocols, and devised new techniques to enhance source- location privacy that augment these routing protocols.
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning
This paper model the sequential interactions between users and a recommender system as a Markov Decision Process (MDP) and leverage Reinforcement Learning (RL) to automatically learn the optimal strategies via recommending trial-and-error items and receiving reinforcements of these items from users' feedback.
An End-to-End Measurement of Certificate Revocation in the Web's PKI
A close look at certificate revocations in the Web's PKI is taken, finding that a surprisingly large fraction of the certificates served have been revoked, and that obtaining certificate revocation information can often be expensive in terms of latency and bandwidth for clients.
Dynamic Service Provisioning in Elastic Optical Networks With Hybrid Single-/Multi-Path Routing
The simulation results have demonstrated that the proposed HSMR schemes can effectively reduce the bandwidth blocking probability (BBP) of dynamic RMSA, as compared to two benchmark algorithms that use single-path routing and split spectrum.
Deep reinforcement learning for page-wise recommendations
A principled approach to jointly generate a set of complementary items and the corresponding strategy to display them in a 2-D page is proposed and a novel page-wise recommendation framework based on deep reinforcement learning, DeepPage, which can optimize a page of items with proper display based on real-time feedback from users is proposed.
Deep Reinforcement Learning for List-wise Recommendations
This paper proposes a novel recommender system with the capability of continuously improving its strategies during the interactions with users and introduces an online user-agent interacting environment simulator, which can pre-train and evaluate model parameters offline before applying the model online.
Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM
This paper presents a multimodal gesture recognition method based on 3-D convolution and convolutional long-short-term-memory (LSTM) networks and finds that it can be considered as an optional skill to prevent overfitting when no pre-trained models exist.
3D-TV Content Creation: Automatic 2D-to-3D Video Conversion
An overview of automatic 2D-to-3D video conversion with a specific look at a number of approaches for both the extraction of depth information from monoscopic images and the generation of stereoscopic images is provided.