papers
Publications (11)
stat.ML2016
FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization
Bo Tang, Haibo He
cs.CV2014
Active Dictionary Learning in Sparse Representation Based Classification
Jin Xu, Haibo He, Hong Man
stat.ML2016
EEF: Exponentially Embedded Families with Class-Specific Features for Classification
Bo Tang, Steven Kay, Haibo He +1
stat.ML2016
Kernel-based Generative Learning in Distortion Feature Space
Bo Tang, Paul M. Baggenstoss, Haibo He
cs.CV2019
Nucleus Neural Network: A Data-driven Self-organized Architecture
Jia Liu, Maoguo Gong, Haibo He
cs.CV2018
Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-spectral Manifold Learning
Hong Huang, Guangyao Shi, Haibo He +2
stat.ML2016
Toward Optimal Feature Selection in Naive Bayes for Text Categorization
Bo Tang, Steven Kay, Haibo He
cs.LG2018
Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach
Hao-Hsuan Chang, Hao Song, Yang Yi +3
cs.AI2016
A Local Density-Based Approach for Local Outlier Detection
Bo Tang, Haibo He
physics.data-an2016
Adaptive Signal Detection and Parameter Estimation in Unknown Colored Gaussian Noise
Bo Tang, Haibo He, Steven Kay
cs.HC2016
Probabilistic Human Mobility Model in Indoor Environment
Bo Tang, Chao Jiang, Haibo He +1