The Effects of Visual Object Size in The Depth Perception in KM Mouse

Whether mice perceive the depth of space dependent on the visual size of object targets was explored when visual cues such as perspective and partial occlusion in space were excluded. A mouse was placed on a platform the height of which is adjustable. The platform located inside a box in which all other walls were dark exception its bottom through that light was projected as a sole visual cue. The visual object cue was composed of 4x4 grids to allow a mouse estimating the distance of the platform relative to the grids. Three sizes of grids reduced in a proportion of 2/3 and seven distances with an equal interval between the platform and the grids at the bottom were applied in the experiments. The duration of a mouse staying on the platform at each height was recorded when the different sizes of the grids were presented randomly to test whether the Judgment of the mouse for the depth of the platform from the bottom was affected by the size information of the visual target. The results from all conditions of three object sizes show that time of mice staying on the platform became longer with the increase in height. In distance of 20 similar to 30 cm, the mice did not use the size information of a target to judge the depth, while mainly used the information of binocular disparity. In distance less than 20 cm or more than 30 cm, however, especially in much higher distance 50 cm, 60 cm and 70 cm, the mice were able to use the size information to do so in order to compensate the lack of binocular disparity information from both eyes. Because the mice have only 1/3 of the visual field that is binocular. This behavioral paradigm established in the current study is a useful model and can be applied to the experiments using transgenic mouse as an animal model to investigate the relationships between behaviors and gene functions.

The application of DBF neural networks for object recognition

On the basis of DBF nets proposed by Wang Shoujue, the model and properties of DBF neural network were discussed in this paper. When applied in pattern recognition, the algorithm and implement on hardware were presented respectively. We did experiments on recognition of omnidirectionally oriented rigid objects on the same level, using direction basis function neural networks, which acts by the method of covering the high dimensional geometrical distribution of the sample set in the feature space. Many animal and vehicle models (even with rather similar shapes) were recognized omnidirectionally thousands of times. For total 8800 tests, the correct recognition rate is 98.75%, the error rate and the rejection rate are 0.5% and 1.25% respectively. (C) 2003 Elsevier Inc. All rights reserved.

Object-recognition with oblique observation directions based on biomimetic pattern recognition

In this paper, we propose a new scheme for omnidirectional object-recognition in free space. The proposed scheme divides above problem into several onmidirectional object-recognition with different depression angles. An onmidirectional object-recognition system with oblique observation directions based on a new recognition theory-Biomimetic Pattern Recognition (BPR) is discussed in detail. Based on it, we can get the size of training samples in the onmidirectional object-recognition system in free space. Omnidirection ally cognitive tests were done on various kinds of animal models of rather similar shapes. For the total 8400 tests, the correct recognition rate is 99.89%. The rejection rate is 0.11% and on the condition of zero error rates. Experimental results are presented to show that the proposed approach outperforms three types of SVMs with either a three degree polynomial kernel or a radial basis function kernel.

Smoothing LDA Model for Text Categorization

Abstract. Latent Dirichlet Allocation (LDA) is a document level language model. In general, LDA employ the symmetry Dirichlet distribution as prior of the topic-words’ distributions to implement model smoothing. In this paper, we propose a data-driven smoothing strategy in which probability mass is allocated from smoothing-data to latent variables by the intrinsic inference procedure of LDA. In such a way, the arbitrariness of choosing latent variables'priors for the multi-level graphical model is overcome. Following this data-driven strategy,two concrete methods, Laplacian smoothing and Jelinek-Mercer smoothing, are employed to LDA model. Evaluations on different text categorization collections show data-driven smoothing can significantly improve the performance in balanced and unbalanced corpora.

Elliptic Object Detection Based on Shape Preserving and Active Contour

本文通过形状约束方程(组)与一般主动轮廓模型结合,将目标形状与主动轮廓模型融合到统一能量泛函模型中,提出了一种形状保持主动轮廓模型即曲线在演化过程中保持为某一类特定形状。模型通过参数化水平集函数的零水平集控制演化曲线形状,不仅达到了分割即目标的目的,而且能够给出特定目标的定量描述。根据形状保持主动轮廓模型,建立了一个用于椭圆状目标检测的统一能量泛函模型,导出了相应的Euler-Lagrange常微分方程并用水平集方法实现了椭圆状目标检测。此模型可以应用于眼底乳头分割,虹膜检测及相机标定。实验结果表明,此模型不仅能够准确的检测出给定图像中的椭圆状目标,而且有很强的抗噪、抗变形及遮挡性能。

Resolution deterioration in emission electron microscopy due to object roughness

In the present paper a general analytic expression has been obtained and confirmed by a computer simulation which links the surface roughness of an object under study in an emission electron microscope and it's resolution. A quantitative derivation was made for the model case when there is a step on the object surface. It was shown that the resolution is deteriorated asymmetrically relative to the step. The effect sets a practical limit to the ultimate lateral resolution obtainable in an emission electron microscope.

情绪对创造力影响的发展性特点

Although robust findings have been that positive mood leads to greater creativity, several other literatures have found that negative mood sometimes results in more creative performance than positive or neutral mood. Several possible explanations for this emotion–creativity link have been proposed by researchers, but there has not yet been definitive research identifying the mechanism(s) behind this relationship. This research represents an initial step in this direction, examining the possibility that Intelligence Current may be a contributing mechanism in the emotion–creativity link from the perspective of development. The object of the present study was to do the followings 1) the effects and mechanism(s) of emotions on creativity development from adolescence to young adulthood by Unusual Uses Test; 2) the possibility that Intelligence Current may be a contributing mechanism in the emotion–creativity link. The participants were 849 adolescents in high schools and 267 undergraduates in the university aged from 11 to 22 years old. The mechanism(s) for emotion-creativity link was explored by cognitive flexibility (assessed using Abstract Match Task), tolerance (inclusive) ratings (assessed using Categorization of Analogy Task), uses originality ratings, and confidence ratings. Results indicated that: 1) The level of creativity varied with age. It increased from 11 years on, but decreased at about 14 to improve again from 15 to 22 years. 2) The different effects of emotions on creativity development among adolescents and undergraduates emerged, but the effects of positive and negative emotions on creativity didn’t differ from each other for the whole participants. Furthermore, compared with positive and negative emotions, the neutral emotions produced the lowest creativity for 11.00-13.99 years old group, but produced the highest creativity for 14.00-14.99 and 17.00-21.99years old. 3) Positive emotions have been shown to enable individuals to higher level of cognitive flexibility and better performance than negative emotions by Abstract Match Task, which could be considered that the Intelligence Current may be a contributing mechanism in the emotion–creativity link. 4) Positive emotions have been shown to enable individuals to own higher confidence, to categorize items with more flexibility, to see more potential relatedness among unusual and atypical members of categories, to evaluate items more originality than negative emotions among most of participants, especially the group of 14.00-14.99 years old. In sum, the present study helps us to further understand that the term ‘Intelligence Current’ is further explained and the problems found in relationships between creativity and emotions. However, further research is required to explore and confirm the conclusions of the present study.