This study presents a new semi-supervised action recognition method via adaptive feature analysis. We assume that videos can be regarded as data points in embedding manifold subspace, and their matching problem quantified through specific Grassmannian kernel function while integrating correlation exploration similarity measurement into joint framework. By maximizing the intra-class compactness ...

Voice recognition plays a key function in spoken communication that facilitates identifying the emotions of person reflects within voice. Gender classification through speech is popular Human Computer Interaction (HCI) method on account determining gender computer hard. This led to development model for "Voice feature extraction Emotion and Recognition". The signal consists semantic information...

Accurate recognition of person identity is a critical task in civil society for various application and different needs. There are well-established biometric modalities that can be used purposes such as face, voice, fingerprint, iris, etc. Recently, face images have been widely recognition, since the human most natural user-friendly method. However, real-life applications, some factors may degr...

Grayscale feature is very effective for degraded character recognition. While many papers focus on different feature extraction algorithms on single character recognition, few deals with the impact of the selected feature on segmentation. For recognition-based segmentation, a good recognition performance on single character may not always have good performance on segmentation. In this paper, tw...

In this report, we present a preliminary evaluation of the feature extraction system for proxemic behavior analysis described in our previous work (Mead et al., 2011a).

A manufacturing feature can be defined simply as a geometric shape and its manufacturing information to create the shape. For the extraction of manufacturing features with their proper manufacturing information from the product design information, it is needed to consider the designer’s intention described in the functional data of the face elements that construct the manufacturing features. In...

Automatic manufacturing feature recognition (AFR) is a critical technology for realizing CAD/CAPP/CAM integration in the era of intelligent manufacturing. Despite numerous approaches that have been proposed, intersecting features remains challenge. The most important reason boundaries and their geometric topological information are altered or destroyed when interacting with other features. To a...