Haibo He

A Novel Low-Power Logic Circuit Design Scheme (2009)

Janusz A. Starzyk, Senior Member, Haibo He

Abstract—This brief proposes a novel low-power digital logic design scheme based on the energy exchange in the switched inductor–capacitor (SLC) circuit. It presents a design paradigm which in...

IMORL: Incremental Multiple-Object Recognition and Localization (2009)

Haibo He, Sheng Chen, Student Member

Abstract—This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an image....

Anticipation-Based Temporal Sequences Learning in Hierarchical Structure (2009)

Janusz A. Starzyk, Senior Member, Haibo He

Abstract—Temporal sequence learning is one of the most critical components for human intelligence. In this paper, a novel hierarchical structure for complex temporal sequence learning is proposed....

IEEE TRANSACTIONS ON POWER DELIVERY 1 A Self-Organizing Learning Array System for Power Quality Classification Based on Wavelet Transform (2009)

Haibo He, Student Member, Janusz A. Starzyk, Senior Member

Abstract—This paper proposed a novel approach for the Power Quality (PQ) disturbances classification based on the wavelet transform and self organizing learning array (SOLAR) system. Wavelet...

Online Dynamic Value System for Machine Learning (2008)

Haibo He, Janusz A. Starzyk

Abstract. A novel online dynamic value system for machine learning is proposed in this paper. The proposed system has a dual network structure: data processing network (DPN) and information...

Dynamically Self-reconfigurable Systems for Machine Intelligence (2006)

He, Haibo

This dissertation is focused on the development of system level architectures and models of dynamically self-reconfigurable systems for machine intelligence. This research is significant for building...

Dynamically Self-reconfigurable Systems for Machine Intelligence (2006)

He, Haibo

This dissertation is focused on the development of system level architectures and models of dynamically self-reconfigurable systems for machine intelligence. This research is significant for building...