RETIN system : partial and global feature learning ImagEval / Tasks 4 and 5
نویسندگان
چکیده
In this paper, we present the methods involved in the tasks 4 and 5 of the TECHNOVISION/ImagEval contest. Two techniques are used, a global and a local one, both based on a description of low level visual content by histograms of colors and textures. The global approach considers images as a whole, and classifies images using a single histogram for each image. Kernel functions and SVMs are used for the classification. The local approach works on graphs of fuzzy regions. It searches for images containing the object of interest using graph matching. The method has the specificity to compare fuzzy regions with a supervised and kernel based similarity function.
منابع مشابه
Predictive Power of Involvement Load Hypothesis and Technique Feature Analysis across L2 Vocabulary Learning Tasks
Involvement Load Hypothesis (ILH) and Technique Feature Analysis (TFA) are two frameworks which operationalize depth of processing of a vocabulary learning task. However, there is dearth of research comparing the predictive power of the ILH and the TFA across second language (L2) vocabulary learning tasks. The present study, therefore, aimed to examine this issue across four vocabulary learning...
متن کاملMental Arithmetic Task Recognition Using Effective Connectivity and Hierarchical Feature Selection From EEG Signals
Introduction: Mental arithmetic analysis based on Electroencephalogram (EEG) signal for monitoring the state of the user’s brain functioning can be helpful for understanding some psychological disorders such as attention deficit hyperactivity disorder, autism spectrum disorder, or dyscalculia where the difficulty in learning or understanding the arithmetic exists. Most mental arithmetic recogni...
متن کاملPredictive Power of Involvement Load Hypothesis and Technique Feature Analysis across L2 Vocabulary Learning Tasks
Involvement Load Hypothesis (ILH) and Technique Feature Analysis (TFA) are two frameworks which operationalize depth of processing of a vocabulary learning task. However, there is dearth of research comparing the predictive power of the ILH and the TFA across second language (L2) vocabulary learning tasks. The present study, therefore, aimed to examine this issue across four vocabulary learning...
متن کاملMachine learning algorithms in air quality modeling
Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...
متن کاملTask Effectiveness Predictors: Technique Feature Analysis VS. Involvement Load Hypothesis
How deeply a word is processed has long been considered as a crucial factor in the realm of vocabulary acquisition. In literature, two frameworks have been proposed to operationalize the depth of processing, namely the Involvement Load Hypothesis (ILH) and the Technique Feature Analysis (TFA). However, they differ in the way they have operationalized it specially in terms of their attentional c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007