Due to the scarcity of available data, deep learning does not perform well on few-shot tasks. However, human can quickly learn feature a new category from very few samples. Nevertheless, previous work has rarely considered how mimic cognitive behavior and apply it learning. This paper introduces Gestalt psychology proposes Gestalt-Guided Image Understanding, plug-and-play method called GGIU. Re...

The ultimate goal of most image understanding systems is to produce an unambigu-ous 3-D representation of the local visual environment. This representation can then be employed by robotic systems to eeect some meaningful action. A great deal of research eeort is concerned with the development of visual and`manipulative' representations, and their generative processes, which allow for the eeecti...

Because of the complexity of documents and the variety of applications which must be supported, document understanding requires the integration of image understanding with text understanding. Our docum(,nt understanding technology is implemented in a system called IDUS (Intelligent Document Undcrstanding System), which creates the da ta for a text retrieval application and the automatic generat...

This manuscript introduces an automated Computer-Aided Classification (CAD) system to classify liver lesions into Benign or Malignant. The system consists of three stages; firstly, automatic liver segmentation and lesion detection. Secondly, extracting features from multiple ROIs, which is the novelty. Finally, classifying liver lesions into benign and malignant. The proposed system divides a s...

Segmentation of perivascular spaces (PVS) from brain magnetic resonance images (MRI) is important for understanding the brain’s lymphatic system and its relationship with neurological diseases. The Frangi filter might be a valuable tool for this purpose. However, its parameters need to be adjusted in response to the variability in scanner’s parameters and study protocols. Knowing the neuroradio...

This paper describes UAIC’s Question Answering for Machine Reading Evaluation systems participating in the QA4MRE 2012 evaluation task. We submitted two types of runs, first type of runs based on our system from 2011 edition of QA4MRE, and second type of runs based on Textual Entailment system. For second types of runs, we construct the Text and the Hypothesis, asked by Textual Entailment syste...

Building dialogues systems interaction has recently gained considerable attention, but most of the resources and systems built so far are tailored to English and other Indo-European languages. The need for designing systems for other languages is increasing such as Arabic language. For this reasons, there are more interest for Arabic dialogue acts classification task because it a key player in ...

The Informedia Digital Video Library Project at Carnegie Mellon University [1] combines speech, image and natural language understanding to automatically transcribe, segment and index video for intelligent search and image retrieval. Since 1995, thousands hours of video (over two terabytes of data) have been collected, with automatically generated metadata and indices for retrieving videos from...