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Prototype Selection
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Hybrid Interpretable Deep Learning Framework for Skin Cancer Diagnosis: Integrating Radial Basis Function Networks with Explainable AI
Addressing Spatial-Temporal Data Heterogeneity in Federated Continual Learning via Tail Anchor
Accelerating prototype selection with spatial abstraction
PAWS-VMK: A Unified Approach To Semi-Supervised Learning And Out-of-Distribution Detection
Latent Distribution Adjusting for Face Anti-Spoofing
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning
ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives
SPOT: A framework for selection of prototypes using optimal transport
Learning Sparse Prototypes for Text Generation
Anomaly Detection and Prototype Selection Using Polyhedron Curvature
Modeling User Behaviors in Machine Operation Tasks for Adaptive Guidance
Differentially Private Distributed Data Summarization under Covariate Shift
ProLFA: Representative Prototype Selection for Local Feature Aggregation
Improving classification performance by feature space transformations and model selection
Learning a sparse database for patch-based medical image segmentation
Ignorance-Aware Approaches and Algorithms for Prototype Selection in Machine Learning
Analyzing different prototype selection techniques for dynamic classifier and ensemble selection
Streaming Methods for Restricted Strongly Convex Functions with Applications to Prototype Selection
Learning from Exemplars and Prototypes in Machine Learning and Psychology
Scalable Prototype Selection by Genetic Algorithms and Hashing
Tree Space Prototypes: Another Look at Making Tree Ensembles Interpretable
Discriminative Learning of the Prototype Set for Nearest Neighbor Classification
The Approximation of the Dissimilarity Projection
Median evidential c-means algorithm and its application to community detection
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