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Effective multi-view registration of point sets based on student's t mixture model
Recently, Expectation-maximization (EM) algorithm has been introduced as...
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Towards Automatic Manipulation of Intra-cardiac Echocardiography Catheter
Intra-cardiac Echocardiography (ICE) has been evolving as a real-time im...
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Animated Cassie: A Dynamic Relatable Robotic Character
Creating robots with emotional personalities will transform the usabilit...
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Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics
Annotating histopathological images is a time-consuming andlabor-intensi...
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Bidirectional Loss Function for Label Enhancement and Distribution Learning
Label distribution learning (LDL) is an interpretable and general learni...
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Robust Motion Averaging under MaximumCorrentropy Criterion
Recently, the motion averaging method has been introduced as an effectiv...
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Consistent and Complementary Graph Regularized Multi-view Subspace Clustering
This study investigates the problem of multi-view clustering, where mult...
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Generalized Label Enhancement with Sample Correlations
Recently, label distribution learning (LDL) has drawn much attention in ...
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Registration of multi-view point sets under the perspective of expectation-maximization
Registration of multi-view point sets is a prerequisite for 3D model rec...
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CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation
Recently, deep neural networks have demonstrated comparable and even bet...
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Visual Space Optimization for Zero-shot Learning
Zero-shot learning, which aims to recognize new categories that are not ...
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Constrained Bilinear Factorization Multi-view Subspace Clustering
Multi-view clustering is an important and fundamental problem. Many mult...
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Feature Concatenation Multi-view Subspace Clustering
Many multi-view clustering methods have been proposed with the popularit...
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Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors
This paper proposes a global approach for the multi-view registration of...
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Adaptive Co-weighting Deep Convolutional Features For Object Retrieval
Aggregating deep convolutional features into a global image vector has a...
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Simultaneous merging multiple grid maps using the robust motion averaging
Mapping in the GPS-denied environment is an important and challenging ta...
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An Effective Approach for Point Clouds Registration Based on the Hard and Soft Assignments
For the registration of partially overlapping point clouds, this paper p...
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Weighted Motion Averaging for the Registration of Multi-View Range Scans
Multi-view registration is a fundamental but challenging problem in 3D r...
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