Category: .Net

Semisupervised Biased Maximum Margin Analysis for Interactive Image Retrieval

Semisupervised Biased Maximum Margin Analysis for Interactive Image Retrieval   ABSTRACT: With many potential practical applications, content-based image retrieval (CBIR) has attracted substantial attention during the past few years. A variety of relevance feedback (RF) schemes have been developed as a powerful tool to bridge the semantic gap between low-level visual features and high-level semantic […]


Tree-Based Mining for Discovering Patterns of Human Interaction in Meetings

Tree-Based Mining for Discovering Patterns of Human Interaction in Meetings ABSTRACT: Discovering semantic knowledge is significant for understanding and interpreting how people interact in a meeting discussion. In this paper, we propose a mining method to extract frequent patterns of human interaction based on the captured content of face-to-face meetings. Human interactions, such as proposing […]