Fuzzy encoding with hybrid pooling for visual dictionary in food recognition

Learning Smooth Pooling Regions for Visual Recognition

From the early HMAX model to Spatial Pyramid Matching, spatial pooling has played an important role in visual recognition pipelines. By aggregating local statistics, it equips the recognition pipelines with a certain degree of robustness to translation and deformation yet preserving spatial information. Despite of its predominance in current recognition systems, we have seen little progress to ...

Multiple spatial pooling for visual object recognition

Global spatial structure is an important factor for visual object recognition but has not attracted sufficient attention in recent studies. Especially, the problems of features' ambiguity and sensitivity to location change in the image space are not yet well solved. In this paper, we propose multiple spatial pooling (MSP) to address these problems. MSP models global spatial structure with multi...

Hybrid Structured Dictionary for Improving Text Recognition

qfd planning with cost consideration in fuzzy environment

در عصر حاضر که رقابت بین سازمان ها بسیار گسترش یافته است، مطالعه و طرحریزی سیستم های تولیدی و خدماتی به منظور بهینه سازی عملکرد آنها اجتناب ناپذیر می باشد. بخش عمده ای از رقابت پذیری سازمان ها نتیجه رضایتمندی مشتریان آنها است. میزان موفقیت سازمان های امروزی به تلاش آنها در جهت شناسایی خواسته ها و نیازهای مشتریان و ارضای این نیازها بستگی دارد. از طرفی کوتاه کردن زمان ارائه محصول/خدمات به مشتریان...

Invariant encoding schemes for visual recognition

Many encoding schemes, such as the Scale Invariant Feature Transform (SIFT) and Histograms of Oriented Gradients (HOG), make use of templates of histograms to enable a loose encoding of the spatial position of basic features such as oriented gradients. Whilst such schemes have been successfully applied, the use of a template may limit the potential as it forces the histograms to conform to a ri...