Search Results for author: Wei Bian

Found 11 papers, 0 papers with code

Global-guided Focal Neural Radiance Field for Large-scale Scene Rendering

no code implementations19 Mar 2024 Mingqi Shao, Feng Xiong, Hang Zhang, Shuang Yang, Mu Xu, Wei Bian, Xueqian Wang

The global stage obtains a continuous representation of the entire scene while the focal stage decomposes the scene into multiple blocks and further processes them with distinct sub-encoders.

Repulsive Mixture Models of Exponential Family PCA for Clustering

no code implementations7 Apr 2020 Maoying Qiao, Tongliang Liu, Jun Yu, Wei Bian, DaCheng Tao

To alleviate this problem, in this paper, a repulsiveness-encouraging prior is introduced among mixing components and a diversified EPCA mixture (DEPCAM) model is developed in the Bayesian framework.

Clustering

Detecting Communities in Heterogeneous Multi-Relational Networks:A Message Passing based Approach

no code implementations6 Apr 2020 Maoying Qiao, Jun Yu, Wei Bian, DaCheng Tao

Specifically, an HMRNet is reorganized into a hierarchical structure with homogeneous networks as its layers and heterogeneous links connecting them.

Community Detection

Projection Neural Network for a Class of Sparse Regression Problems with Cardinality Penalty

no code implementations2 Apr 2020 Wenjing Li, Wei Bian

By constructing a smoothing function for the cardinality function, we propose a projected neural network and design a correction method for solving this problem.

regression

Diversified Hidden Markov Models for Sequential Labeling

no code implementations5 Apr 2019 Maoying Qiao, Wei Bian, Richard Yida Xu, DaCheng Tao

While the first-order Hidden Markov Models (HMM) provides a fundamental approach for unsupervised sequential labeling, the basic model does not show satisfying performance when it is directly applied to real world problems, such as part-of-speech tagging (PoS tagging) and optical character recognition (OCR).

Optical Character Recognition Optical Character Recognition (OCR) +3

Adapting Stochastic Block Models to Power-Law Degree Distributions

no code implementations5 Apr 2019 Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, DaCheng Tao

Stochastic block models (SBMs) have been playing an important role in modeling clusters or community structures of network data.

Asymptotic Generalization Bound of Fisher's Linear Discriminant Analysis

no code implementations15 Aug 2012 Wei Bian, DaCheng Tao

The obtained lower bound of the generalization discrimination power overcomes both limitations of the classical result, i. e., it is applicable when $D$ and $N$ are proportionally large and provides a quantitative description of the generalization ability of FLDA in terms of the ratio $\gamma=D/N$ and the population discrimination power.

Binary Classification Dimensionality Reduction

Manifold Regularization for SIR with Rate Root-n Convergence

no code implementations NeurIPS 2009 Wei Bian, DaCheng Tao

In this paper, we study the manifold regularization for the Sliced Inverse Regression (SIR).

regression

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