Heterogeneous Feature Fusion Machines (HFFM) is a kernel based logistic regression model which effectively fuses multiple features for visual recognition ...

2014/01/10 · Heterogeneous Feature Fusion Machines (HFFM) is a kernel based logistic regression model that effectively fuses multiple features for visual ...

2013/07/02 · Heterogeneous Feature Fusion Machines (HFFM) is a kernel based logistic regression model that effectively fuses multiple features for visual ...

This online algorithm is used to solve HFFM model efficiently and can be used for wide range of visual recognition problems such as event recognition and object.

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Online heterogeneous feature fusion machines for visual recognition. https://doi.org/10.1016/j.neucom.2013.06.004 ·. Journal: Neurocomputing, 2014, p. 100-109.

Heterogeneous Feature Fusion Machines (HFFM) is a kernel based logistic regression model that effectively fuses multiple features for visual recognition ...

2011/08/25 · We first develop a machinery called Heterogeneous Feature Machines to effectively fuse multiple types of visual features. In addition, we ...

In this paper, we propose a machinery called the Heterogeneous Feature Machine (HFM) to effectively solve visual recognition tasks in need of multiple types of ...

This study presents an effective MVS network for 3D reconstruction utilizing multiview pictures. Alternative learning-based reconstruction techniques work well.