A successful detection and classification system must have two properties: it should be general enough to compensate for intra-class variability and it should be specific enough to...
NLP tasks are often domain specific, yet systems can learn behaviors across multiple domains. We develop a new multi-domain online learning framework based on parameter combinatio...
Accurately and automatically detecting image orientation is of great importance in intelligent image processing. In this paper, we present automatic image orientation detection al...
This paper presents an automatic grading prototype system developed as recognition engine for Japanese KANJI Dictation Test which aims to certificate the reading and writing abili...
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...