Dynamic Strategic Planning is an effective method for the development of rational policies for the intelligent, effective development of technology or large-scale engineering projects. It is: • Dynamic in that it explicitly recognizes the risk and uncertainties necessarily associated with any forecast about the future performance and acceptance of any technology, and thus the need to build flex...

Manual Cued Speech is an effective method used to enhance speech perception for hearing-impaired people. Thanks to this system, a speaker can clarify what has been said with the help of hand gestures. Seeing manual cues associated to lip shapes allows the cue receiver to identify speech elements unambiguously. A large amount of work has been devoted to Cued Speech effectiveness in visual identi...

Active surveillance is a desirable way to prevent the spread of infectious diseases in that it aims to timely discover individual incidences through an active searching for patients. However, in practice active surveillance is difficult to implement especially when monitoring space is large but available resources are limited. Therefore, it is extremely important for public health authorities t...

This paper is focused on wrist localization which is an important step in recognizing hand gestures. While there are many methods for detecting hand feature points as well as for estimating the hand pose, the majority of them assume that the palm region is given and ignore the wrist detection step. However, despite it is a required operation if the gesture recognition is supposed to be automati...

We characterise foot movements as input for seated users. First, we built unconstrained foot pointing performance models in a seated desktop setting using ISO 9241-9-compliant Fitts’s Law tasks. Second, we evaluated the effect of the foot and direction in one-dimensional tasks, finding no effect of the foot used, but a significant effect of the direction in which targets are distributed. Third,...

Abstract Sub-sampling is a common and often effective method to deal with the computational challenges of large datasets. However, for most statistical models, there is no well-motivated approach for drawing a non-uniform subsample. We show that the concept of an asymptotically linear estimator and the associated influence function leads to optimal sampling procedures for a wide class of popula...

Latent Semantic Indexing (LSI) is an effective method to extract features that captures underlying latent semantic structure in the word usage across documents. However, subspace selected by this method may not be the most appropriate one to classify documents, since it orders extracted features according to their variances, not the classification power. We propose to apply feature ordering met...

In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At present, the common “operation” mechanism of MCSs is the “combination” of classifiers outputs. Recently, some researchers pointed out the potentialities of “dynamic classifier selection” as a new operation mechanism. I...

Educators, politicians, the general public—everyone wants excellent teachers in our nation’s classrooms. Teachers want to be held to high standards, teacher educators want to inspire quality teaching in prospective teachers, educational researchers want to ascertain the most effective methods for evaluating teachers, and community members and policymakers want to make sure American teachers cha...

We propose an effective method which automatically assigns proper ICD codes for diagnosis. Unfortunately, the number of electronic Japanese medical records available would not be sufficient for statistical machine learning methods to perform well. Therefore, we observed characteristics of medical records manually, writing rules to make effective methods by hand. Our system achieved the highest ...