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Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations
TLDR
A deep geometry-aware grasping network (DGGN) that decomposes the learning into two steps, which constraining and regularizing grasping interaction learning through 3D geometry prediction and demonstrating that the model generalizes to novel viewpoints and object instances. Expand
Error control for multimedia communications in wireless sensor networks: A comparative performance analysis
TLDR
This analysis shows how wireless channel errors can affect the performance of multimedia sensor networks and how different error control scenarios can be effective for those networks and provides the required insights for efficient design of error control protocols in multimedia communications over WSNs. Expand
Alert correlation and prediction using data mining and HMM
TLDR
This paper introduces an Attack Scenario Extraction Algorithm (ASEA), which mines the stream of alerts for attack scenarios, and proposes a Hidden Markov Model (HMM)based correlation method of intrusion alerts. Expand
WCCP: A congestion control protocol for wireless multimedia communication in sensor networks
TLDR
The results show that WCCP significantly improves the network performance and the quality of received video in the sink nodes, and outperforms the existing state-of-the-art congestion control protocols. Expand
Near infrared face recognition by combining Zernike moments and undecimated discrete wavelet transform
TLDR
The proposed near infrared face recognition algorithm based on a combination of both local and global features has superior overall performance compared to some other methods in the presence of facial expressions, eyeglasses, head rotation, image noise and misalignments. Expand
Incremental motion learning with locally modulated dynamical systems
TLDR
An incremental learning algorithm based on Gaussian Processes is proposed for learning to reshape an existing, stable nonlinear autonomous DS while preserving important stability properties of the original system. Expand
Object Tracking in Crowded Video Scenes Based on the Undecimated Wavelet Features and Texture Analysis
TLDR
Experimental results show that the proposed algorithm has good performance for object tracking in crowded scenes on stairs, in airports, or at train stations in the presence of object translation, rotation, small scaling, and occlusion. Expand
Modeling robot discrete movements with state-varying stiffness and damping: A framework for integrated motion generation and impedance control
TLDR
This paper model robot discrete motions with a time-invariant dynamical system, which is expressed as a nonlinear combination of a set of linear spring-damper systems that represents the nominal motion and the impedance properties with a single set of parameters, simplifying stability analysis of the closed-loop system. Expand
Occlusion Handling for Object Tracking in Crowded Video Scenes Based on the Undecimated Wavelet Features
TLDR
A new algorithm that exploits the properties of undecimated wavelet packet transform (UWPT) coefficients and texture analysis to track arbitrary objects in crowded video scenes and shows good performance for occlusion handling for object tracking in crowded scenes. Expand
Rotation and noise invariant near-infrared face recognition by means of Zernike moments and spectral regression discriminant analysis
TLDR
A rotation and noise invariant near-infrared face-recognition system using an orthogonal invariant moment and spectral regression discriminant analysis as an efficient algorithm to decrease the computational complexity of the system, enhance the discrimination power of features, and solve the “small sample size” problem simultaneously. Expand
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