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- Lei XuSuggested from co-authorship
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Works531 from public data
- Segmentation of retinal blood vessels using the radial projection and semi-supervised approach402
A novel scheme of extracting the retinal vessels based on the radial projection and semi-supervised method that can achieve improved detection of thin vessels and decrease false detection of vessels in pathological regions compared to rival solutions is presented.
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- -Means: A new generalized k-means clustering algorithm229
A generalized version of the conventional k-means clustering algorithm applicable to ellipse-shaped data clusters without dead-unit problem, but also performs correct clustering without pre-assigning the exact cluster number.
- MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval220
This paper exploits an efficient objective function to flexibly learn the modality-specific hash codes with different length settings, while synchronously learning two semantic correlation matrices to semantically correlate the different hash representations for heterogeneous data comparable, so that the derived hash codes are more semantically meaningful for various challenging cross-modal retrieval tasks.
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- Joint sparse principal component analysis203
A novel approach called joint sparse principal component analysis (JSPCA) is proposed to jointly select useful features and enhance robustness to outliers and the experimental results demonstrate that the proposed approach is feasible and effective.
- Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment177
This paper proposes the Gaussian clouded logit adjustment by Gaussian perturbation of different class logits with varied amplitude, and proposes the class-based effective number sampling strategy with classifier retraining to alleviate the bias in a classifier.
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- Intelligent data engineering and automated learning : 4th International Conference, IDEAL 2003, Hong Kong, China, March 21-23, 2003 : revised papers136
It is shown how one can perform practical simulation by implementing a guiding function to the conventional Monte Carlo method to search for the optimal path of the traveling salesman problem and its performance is comparable with more elaborate and heuristic methods.
- Efficient single image dehazing and denoising: An efficient multi-scale correlated wavelet approach135
This paper presents an efficient multi-scale correlated wavelet approach to solve the image dehazing and denoising problem in the frequency domain and finds a generic regularity in nature images that the haze is typically distributed in the low frequency spectrum of its multi- scale wavelet decomposition.
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- Categorical-and-numerical-attribute data clustering based on a unified similarity metric without knowing cluster number126
A general clustering framework based on the concept of object-cluster similarity is presented and gives a unified similarity metric which can be simply applied to the data with categorical, numerical, and mixed attributes.
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- Independent component ordering in ICA time series analysis103
This paper proposes an alternative approach to order the components according to their joint contributions in data reconstruction, which naturally leads the component ordering to a typical combinatorial optimization problem, whereby the underlying optimum ordering can be found in an exhaustive way.
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- Bayes Imbalance Impact Index: A Measure of Class Imbalanced Data Set for Classification Problem90
IBI3 can be used as an instance complexity measure of imbalance and BI3 as a criterion to demonstrate the degree to which imbalance deteriorates the classification of a data set and is used to access whether it is worth using imbalance recovery methods to recover the performance loss of a classifier.
- Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering85
It turns out that the proposed SGM can incrementally adapt to the distributions of new chunks, and the self-growth map-guided hierarchical merging for the imbalanced data clustering (SOHI) approach can quickly explore a true number of imbalanced clusters.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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