A life-long learning vector quantization approach for interactive learning of multiple categories

作者：Kirstein Stephan^*; Wersing Heiko; Gross Horst Michael; Koerner Edgar

来源：Neural Networks, 2012, 28: 90-105.

DOI：10.1016/j.neunet.2011.12.003

• Category learning
• Life-long learning
• Vector quantization
• Feature selection

We present a new method capable of learning multiple categories in an interactive and life-long learning fashion to approach the "stability-plasticity dilemma". The problem of incremental learning of multiple categories is still largely unsolved. This is especially true for the domain of cognitive robotics, requiring real-time and interactive learning. To achieve the life-long learning ability for a cognitive system, we propose a new learning vector quantization approach combined with a category-specific feature selection method to allow several metrical "views" on the representation space of each individual vector quantization node. These category-specific features are incrementally collected during the learning process, so that a balance between the correction of wrong representations and the stability of acquired knowledge is achieved. We demonstrate our approach for a difficult visual categorization task, where the learning is applied for several complex-shaped objects rotated in depth.

• 出版日期2012-4