Feature extraction for document image segmentation by pLSA model

In this paper, we propose a method for document image segmentation based on pLSA (probabilistic latent semantic analysis) model. The pLSA model is originally developed for topic discovery in text analysis using "bag-of-words" document representation. The model is useful for image analysis by "bag-of-visual words" image representation. The performance of the method depends on the visual vocabulary generated by feature extraction from the document image. We compare several feature extraction and description methods, and examine the relations to segmentation performance. Through the experiments, we show accurate content-based document segmentation is made possible by using pLSA-based method.ArticleThe Eighth IAPR Workshop on Document Analysis Systemsconference pape

Character Type Classification via Probabilistic Topic Model

ArticleInternational Journal of Signal Processing, Image Processing and Pattern Recognition. 5(2): 123-140 (2012)journal articl

Image categorization by a classifier based on probabilistic topic model

With rapid increase of number of accessible images and videos, ability to recognize visual information is getting more and more important for content-based information retrieval. Recently, probabilistic topic models, which were originally developed for text analysis, have been used for image categorization successfully. Usually, topics which represent contents of an image is detected based on the underlying probabilistic model, then image categorization is carried out using topic distribution as the input feature. Typical method is to use k-nearest neighbor classifier based on L2-distance after topic discovery. In the method, topic distribution is just treated as a feature point. In this paper, we propose a categorization method based on more natural use of the topic distribution, which is derived by using pLSA model. Categorization is carried out by estimating conditional probability p(categoryjdata). We present two types of image categorization tasks, scene classification and document image segmentation, and show the proposed method performs very well. In addition, we also examine the performance of the proposed method under the situation where only the limited number of labeled examples are available. We show our method can perform quite well even in the circumstances

Potent Inhibitory Effects of D-tagatose on the Acid Production and Water-insoluble Glucan Synthesis of Streptococcus mutans GS5 in the Presence of Sucrose

We examined and compared the inhibitory effects of D-tagatose on the growth, acid production, and water-insoluble glucan synthesis of GS5, a bacterial strain of Streptococcus mutans, with those of xylitol, D-psicose, L-psicose and L-tagatose. GS5 was cultured for 12h in a medium containing 10ｵ (w/v) of xylitol, D-psicose, L-psicose, D-tagatose or L-tagatose, and the inhibitory effect of GS5 growth was assessed. Each sugar showed different inhibitory effects on GS5. Both D-tagatose and xylitol significantly inhibited the acid production and water-insoluble glucan synthesis of GS5 in the presence of 1ｵ (w/v) sucrose. However, the inhibitory effect of acid production by D-tagatose was significantly stronger than that of xylitol in presence of sucrose

ヒクイ オンド デノ ギン ジョウチャクマク ノ ネツ デンノウ

The differences of the thermoelectric power and the temperature coefficients of resistance of the vacuum evaporated silver films and the silver wire were measured as a function of temperature from 10 K to 300 K. It was found that the differences of the thermoelectic power were positive above 80 K but negative below it, and show minimum around 30 K. It was estimated that the energy dependence of the mean free path of the conduction electrons and the area of the Fermi-surface were1.1～2.1 and -2.6～-3.6 at 273 K respectively