This paper discusses multi-hop routing, all-optical label swapping operation of optical label switching routers that make real-time decisions based on the label and the forwarding table. The switching fabric conducts data regeneration and label rewriting. 2003 Optical Society of America OCIS codes: 060.4510 Optical communications, 060.4250 Networks

Performance appraisal (PA) is an important HR process to periodically measure and evaluate every employee’s performance vis-avis the goals established by the organization. A PA process involves purposeful multi-step multi-modal communication between employees, their supervisors and their peers, such as self-appraisal, supervisor assessment and peer feedback. Analysis of the structured data and ...

We present a scalable, generative framework for multi-label learning with missing labels. Our framework consists of a latent factor model for the binary label matrix, which is coupled with an exposure model to account for label missingness (i.e., whether a zero in the label matrix is indeed a zero or denotes a missing observation). The underlying latent factor model also assumes that the low-di...

In this paper, a novel method is developed for enabling Multi-Kernel Multi-Label Learning. Interlabel dependency and similarity diversity are simultaneously leveraged in the proposed method. A concept network is constructed to capture the inter-label correlations for classifier training. Maximal margin approach is used to effectively formulate the feature-label associations and the labellabel c...

This paper presents a new general framework for image segmentation. A level set formulation is used to model the boundaries of the image regions and a new Multi-Label Fast Marching is introduced for the evolution of the region contours towards the segmentation result. Statistical tests are performed to yield an initial estimate of high-con dence subsets of the image regions. Furthermore, the ve...

In the world of text document classification, the most general case is that in which a document can be classified into more than one category, the multi-label problem. This paper investigates the performance of two document classification systems applied to the task of multi-class multi-label document classification. Both systems consider the pattern of co-occurrences in documents of multiple c...

The paper presents a new fuzzy agreement measure γf for determining the agreement in multi-label and subjective annotation task. In this annotation framework, one data item may belong to a category or a class with a belief value denoting the degree of confidence of an annotator in assigning the data item to that category. We have provided a notion of disagreement based on the belief values prov...

Many real life applications brought by modern technologies often have multiple data sources, which are usually characterized by both attributes and pairwise similarities at the same time. For example in webpage ranking, a webpage is usually represented by a vector of term values, and meanwhile the internet linkages induce pairwise similarities among the webpages. Although both attributes and pa...