11 Result(s)
within
Computer Science
Artificial Intelligence
Guo-**ng **ang
Conference Paper
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Chapter and Conference Paper
Characterizing Perception Module Performance and Robustness in Production-Scale Autonomous Driving System
Autonomous driving is a field that gathers many interests in academics and industry and represents one of the most important challenges of next years. Although individual algorithms of autonomous driving have ...
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Chapter and Conference Paper
An Approach for Customer Requirements Acquisition Based on Time Iteration
Acquiring customer requirements (CRs) is important for enterprises to compete in marketplace since inexhaustible innovation chances could be discovered from CRs. However, it is insufficient to generate ideas f...
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Chapter and Conference Paper
Simultaneous Segmentation of Multiple Regions in 3D Bladder MRI by Efficient Convex Optimization of Coupled Surfaces
Urinary bladder cancer (BC) is a severe common cancer that threatens human health worldwide. The muscle-invasive depth of BC penetrating the bladder wall is a key factor for clinical diagnosis and treatment de...
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Chapter and Conference Paper
Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks
Generating accurate 3D models from cone-beam computed tomography (CBCT) images is an important step in develo** treatment plans for patients with craniomaxillofacial (CMF) deformities. This process often inv...
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Chapter and Conference Paper
TransT: Type-Based Multiple Embedding Representations for Knowledge Graph Completion
Knowledge graph completion with representation learning predicts new entity-relation triples from the existing knowledge graphs by embedding entities and relations into a vector space. Most existing methods fo...
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Chapter and Conference Paper
Compressed Binary Discriminative Feature for Fast UAV Image Registration
Efficiently UAV images mosaicking is of critical importance for the application of disaster management, in which fast image registration plays an important role. Towards fast and accurate image registration, t...
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Chapter and Conference Paper
A Knowledge Based Approach for Tackling Mislabeled Multi-class Big Social Data
The performance of classification models extremely relies on the quality of training data. However, label imperfection is an inherent fault of training data, which is impossible manually handled in big data en...
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Chapter and Conference Paper
A Method to Calibrate the Electromagnetic Tracking Instrument When Measuring Branches of Fruit Trees
To reduce the effect from instrument error when getting characteristic parameters of branches of fruit trees by the electromagnetic tracking instrument, a calibration method was sounded based on a discussion o...
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Chapter and Conference Paper
Design of Integrated Error Compensating System for the Portable Flexible CMMs
During the working of portable flexible CMM, the mechanical arm’s gravity and operating load generate dynamic strain, the thermal distortion also results in its length change. The caused errors would severely ...
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Chapter and Conference Paper
The New Method of Fruit Tree Characteristics Acquisition Using Electromagnetic Tracking Instrument
For settling the problem of acquiring environment parameters quickly and responding in time in greenhouse which has low ability of auto-controlling environment. This paper designed a voice service system which...
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Chapter and Conference Paper
The Incompatible Knowledge Elimination in Knowledge-Integration
Knowledge base is the foundation of intelligent system. It is very important to insure the consistency and non-redundancy of knowledge in knowledge base. The redundant, inclusive and incompatible knowledge mus...
