Keyword search is by far the most popular technique for searching linked data on the web. The simplicity of keyword search on data graphs comes with at least two drawbacks: difficulty in identifying results relevant to the user intent among an overwhelming number of candidates and performance scalability problems. In this paper, we claim that result ranking and top-k processing which adapt sche...

Selecting good conference keywords is important because they often determine the composition of review committees and hence which papers are reviewed by whom. But presently conference keywords are generated in an ad-hoc manner by a small set of conference organizers. This approach is plainly not ideal. There is no guarantee, for example, that the generated keyword set aligns with what the commu...

In this paper, the fuzzy systems with multiple non-commensurate time delays are considered. First, the observer-based state feedback fuzzy controllers are proposed. Based on the delay-dependent Lyapunov functional approach, the delay-dependent control design method is derived under which the parallel-distributed fuzzy control can stabilize the whole fuzzy time-delay system asymptotically. Final...

In this paper we address several aspects of the learning problem in content-based image retrieval (CBIR). First, we introduce the linear and kernel-based biased discriminant analysis, or BiasMap, to fit the unique nature of relevance feedback as a small sample biased classification problem. Secondly, a WARF (word association via relevance feedback) formula is presented for learning keyword rela...

The ability of a machine to interpret handwritten characters from sources like paper document, photograph, etc. to some editable computerized form is the first and foremost aim of handwritten character recognition systems. Several challenges are there to construct this kind of systems, including the tasks eg. Digitization, segmentation, normalization, feature extraction, reorganization, and rec...

Given their simple nature, the success of keyword based retrieval systems is astonishing. Although these methods seemingly only process words (and their word counts), they rely on and credit most of their success to the keyword’s implicit semantics. In fact each keyword is a representation of a thought, or concept. Recent developments in NLP make it possible to use bigger syntactical units (lik...

Abbreviation Completion is a novel technique to improve the efficiency of code-writing by supporting code completion of multiple keywords based on non-predefined abbreviated input—a different approach from conventional code completion that finds one keyword at a time based on an exact character match. Abbreviated input is expanded into keywords by a Hidden Markov Model learned from a corpus of ...

Most search engines do their text query and retrieval based on keyword phrases. However, publishers cannot anticipate all possible ways in which users search for the items in their documents. In fact, many times, there may be no direct keyword match between a search phrase and descriptions of items that are perfect “hits” for the search. We present a highly automated solution to the problem of ...

The formation keeping characteristics for nonholonomic autonomous mobile robots are investigated in this paper. A novel approach of compound control is presented, which deals with the formation task based on two different algorithms: a flexible feedback linearization control algorithm and an optimal approximate target algorithm. And the algorithms are selected according to robot’s expected loca...