In this paper, we present a method to generate novel realistic 3D face model using a model trained from real 3D face data. 3D face samples are an important data platform for model training, algorithm design. Subject to the constraint of acquisition technology, sizes of current 3D face databases are relatively small and insufficient. The presented method is used to solve this problem. First real...

We present a software acquisition meta-model, called SAMM, for CommercialOff-The-Shelf software acquisition. Our model is a meta-model in that it includes sections that use other, detailed, models for specific tasks. SAMM is a complete lifecycle model that begins with an end-user need and ends with software maintenance. We have adapted several other models in to SAMM and added several novel fea...

i needed to dereference the names and descriptions of equipment referred to n the text, and to infer their causal relations and operational states when e s these are only implicitly expressed by the message writer. Knowing th tructural configuration of the equipment is useful in both tasks, and a s a structural domain model can be extracted readily from equipment manual nd their accompanying pa...

This paper argues that automated knowledge acquisition for diagnosis has had limited success in both failure-driven diagnosis and model-based diagnosis. The paper describes fault-based and model-based reasoning for diagnosis and surveys some of the approaches to knowledge acquisition in both areas. The Hakeem1 algorithm I am currently implementing for the automated generation of behavioural mod...

contexts hepatocellular carcinoma (hcc) is one of the most common malignant diseases in the world. because less than 20% of patients with hcc are resectable, various types of non-surgical treatment have been developed. evidence acquisition at present, radiofrequency ablation (rfa) is accepted as the standard local treatment for patients with hcc because of its superior local control and overall...

Automatic melody segmentation is an important yet unsolved problem in Music Information Retrieval. Research in the field of Music Cognition suggests that previous listening experience plays a considerable role in the perception of melodic segment structure. At present automatic melody segmenters that model listening experience commonly do so using unsupervised statistical learning with ‘non-sel...

This paper introduces an analytical framework for studying some properties of model acquisition and recognition techniques based on indexing. The goal is to demonstrate that several problems previously associated with the approach can be attributed to the low dimensionality of invariants used. These include limited index selectivity, excessive accumulation of votes in the look-up table buckets,...

Behavior associated with joint attention is among the most important human functionalities for communicating with others. Previous studies indicate that even a robot can learn these behavioral patterns as social skills through interaction with a modeled/real caregiver by contingency evaluation. However, existing mechanisms are too time-consuming, especially for implementation on a real-world in...

The 3D acquisition-compression-processing chain is, most of the time, sequenced into independent stages. As resulting, a large amount of 3D points are acquired whatever the geometry of the object and the processing to be done in further steps. It appears, particularly in mechanical part 3D modeling and in CAD, that the acquisition of such an amount of data is not always mandatory. We propose a ...