Content-Based Image Retrieval using Deep Learning Anshuman Vikram Singh Supervising Professor: Dr. Roger S. Gaborski A content-based image retrieval (CBIR) system works on the low-level visual features of a user input query image, which makes it difficult for the users to formulate the query and also does not give satisfactory retrieval results. In the past image annotation was proposed as the ...

Case-Based Reasoning (CBR) is one of machine learning algorithms for problem solving and learning that caught a lot of attention over the last few years. In general, CBR is composed of four main phases: retrieve the most similar case or cases, reuse the case to solve the problem, revise or adapt the proposed solution, and retain the learned cases before returning them to the case base for learn...

Introduction: In traditional medical education systems much interest isplaced on the cramming of basic and clinical facts without considering theirapplicability in the future professional career. The aim of this study is to evaluatea novice medical training method (problem-based learning) as compared tothe contemporary teacher-based medical education or traditional methods.Methods: Selection of...

introduction: the term dynamic assessment (da) refers to an assessment, by an active teaching process, of a child's perception, learning, thinking, and problem solving. the process is aimed at modifying an individual's cognitive functioning and observing subsequent changes in learning and problem-solving patterns within the testing situation. da has been advocated as an alternative an...