Self-Supervised Online Metric Learning With Low Rank Constraint for Scene Categorization Abstract?Conventional visual recognition systems usually train an image classifier in a bath mode with all training data provided in advance. However, in many practical applications, only a small amount of training samples are available in the beginning and many more would come sequentially…
Semantic Features Selection and Representation for Facial Image Retrieval System Abstract? Most image retrieval methods are specialized for image based matching and retrieval based on low-level features. However, humans perceive facial images and compare their similarities using high-level features, such as the description and ranking of facial traits including gender, race, and age. In…
Semantic Web Service Discovery Using Natural Language Processing Techniques Abstract? the proliferation of available Web services, new approaches are needed to search for the most appropriate services matching user requirements. Existing UDDI based discovery techniques fail to recognize similarities and differences between Web service capabilities and thus greatly limit the scope of service discovery. Hence,…
Semantic Web service discovery using natural language processing techniques Abstract? With the proliferation of available Web services, new approaches are needed to search for the most appropriate services matching user requirements. Existing UDDI based discovery techniques fail to recognize similarities and differences between Web service capabilities and thus greatly limit the scope of service…
Shape Similarity Analysis by Self-Tuning Locally Constrained Mixed-Diffusion Abstract?Similarity analysis is a powerful tool for shape matching/retrieval and other computer vision tasks. In the literature, various shape (dis)similarity measures have been introduced. Different measures specialize on different aspects of the data. < Final Year Projects > In this paper, we consider the problem of…
Tag Completion for Image Retrieval Abstract? Smile detection in face images captured in unconstrained real-world scenarios is an interesting problem with many potential applications. This paper presents an efficient approach to smile detection,< Final Year Projects > in which the intensity differences between pixels in the grayscale face images are used as features. We…
Spatially Optimized Data-Level Fusion of Texture and Shape for Face Recognition Abstract?Data-level fusion is believed to have the potential for enhancing human face recognition. However, due to a number of challenges, current techniques have failed to achieve its full potential. We propose spatially optimized data/pixel-level fusion of 3-D shape and texture for face recognition….
Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening Abstract? Glaucoma is a chronic eye disease that leads to vision loss. As it cannot be cured, detecting the disease in time is important. Current tests using intraocular pressure (IOP) are not sensitive enough for population based glaucoma screening. Optic nerve head…
Supervised Spatio-Temporal Neighborhood Topology Learning for Action Recognition Abstract? Supervised manifold learning has been successfully applied to action recognition, in which class label information could improve the recognition performance. However, the learned manifold may not be able to well preserve both the local structure and global constraint of temporal labels in action sequences.< Final…
Supporting Flexible, Efficient, and User-Interpretable Retrieval of Similar Time Series Abstract? Supporting decision making in domains in which the observed phenomenon dynamics have to be dealt with, can greatly benefit of retrieval of past cases, provided that proper representation and retrieval techniques are implemented. In particular,< Final Year Project > when the parameters of interest…
TACI: Taxonomy-Aware Catalog Integration Abstract? A fundamental data integration task faced by online commercial portals and commerce search engines is the integration of products coming from multiple providers to their product catalogs. In this scenario, the commercial portal has its own taxonomy (the ?master taxonomy?), while each data provider organizes its products into a…