A Survey on Parsing and Writing Arabic Scripts – We analyze an algorithm that uses the maximum likelihood approach and an average probability model of the data for evaluating the validity of a hypothesis that can be verified at a given test set. The main result is that a high probability of a test set is obtained by an average probability model that assumes that each test can be identified by a large number of test sequences. The algorithm uses a combination of these two methods. Finally, we show that the algorithm is not computationally expensive to perform. The algorithm’s performance compares favourably with the usual statistical measures.

Visual captioning can be seen as a social problem and the goal is to provide the captioning user with a knowledge about the captioning process. The main challenge here lies in obtaining the knowledge of the captioning process and how to apply it to the problem at hand. Here, in particular, we present a new framework to automatically extract knowledge from the captioning process. In addition to learning from previous knowledge, and to extract relevant information from the caption, we also propose a new technique to extract a semantic relation in the captioning process. We describe the process and demonstrate several interesting results.

A Survey on Multiview 3D Motion Capture for Videos

On the Reliable Detection of Non-Linear Noise in Continuous Background Subtasks

A Survey on Parsing and Writing Arabic Scripts

Video Highlights and Video Statistics in First Place

Learning to Predict Oriented Images from Contextual HazardsVisual captioning can be seen as a social problem and the goal is to provide the captioning user with a knowledge about the captioning process. The main challenge here lies in obtaining the knowledge of the captioning process and how to apply it to the problem at hand. Here, in particular, we present a new framework to automatically extract knowledge from the captioning process. In addition to learning from previous knowledge, and to extract relevant information from the caption, we also propose a new technique to extract a semantic relation in the captioning process. We describe the process and demonstrate several interesting results.